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SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-06-10/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260604T140000
DTEND;TZID=America/Los_Angeles:20260604T153000
DTSTAMP:20260623T040534
CREATED:20260527T164116Z
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SUMMARY:Imlau Dagostini\, J. (CSE) - Intent-Driven Orchestration for Scientific Computing
DESCRIPTION:The growing complexity of high-performance computing (HPC) systems poses a fundamental challenge for domain scientists\, whose primary objective is to obtain scientifically valid results rather than to optimize resource utilization. Modern leadership-class facilities combine heterogeneous CPUs\, GPUs\, and specialized accelerators across systems that simultaneously support traditional scientific simulations and AI-driven workloads. This creates a vast\, machine-dependent configuration space that even experienced systems researchers find difficult to navigate. In practice\, users must explicitly specify resources\, node counts\, and walltime estimates before submitting jobs to an orchestrator\, resulting in iterative trial-and-error that wastes both human effort and compute resources. \nThis thesis proposes an intent-driven orchestration middleware for scientific computing\, in which domain scientists express high-level computational goals rather than low-level resource parameters\, and the system assumes responsibility for identifying configurations that satisfy those goals efficiently. This thesis proposal builds on a completed study of the computational performance of pangenome mapping\, a representative workload of data-intensive pipelines increasingly common in modern science. We demonstrate that tailoring tuning parameters to specific inputs and architectures yields significant performance improvements while exposing the depth of the configuration search problem that motivates this thesis. We then present an in-progress user-aware\, intent-driven middleware that uses surrogate models to aid this exploration and map high-level goals to suitable configurations. We end this presentation by proposing a cluster-aware orchestrator that enables existing HPC resource managers to support intent-aware decision-making. \nEvent Host: Jessica Imlau Dagostini\, Ph.D. Student\, Computer Science & Engineering \nAdvisor: Abel Souza \nZoom: https://ucsc.zoom.us/j/93851280425?pwd=v4ONi9N5UlfZmsMqiI4gSkxFXe0oaX.1 \nPasscode: 835985 \n 
URL:https://events.ucsc.edu/event/imlau-dagostini-j-cse-intent-driven-orchestration-for-scientific-computing/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260602T134500
DTEND;TZID=America/Los_Angeles:20260602T153000
DTSTAMP:20260623T040534
CREATED:20260529T163203Z
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SUMMARY:Figuerres\, S. (ECE) - Ion Transport Mechanisms for Bioelectronics
DESCRIPTION:Ion transfer as the movement of charged species across spaces and interfaces is the basis of signaling in nearly all biological systems. My research is grounded in the idea that precise control over ion transfer enables direct manipulation of biological function. Specifically\, I focus on how ion transport can be engineered to regulate both collective behavior in microbial communities\, as well as cellular sensing through ion channels. In comparison to traditional means such as passive diffusion\, mediated ion transfer via ion pumps and ion channels creates opportunity for high precision control of biological signaling. My work centers on ion transfer as a fundamental mechanism for biological signaling and control across systems. Using bioelectronic ion pumps and mechanosensitive ion channels to precisely manipulate the movement of charged species\, I aim to investigate ion transfer at the interface of biology and electronics. \nEvent Host: Sydnie Figuerres\, Ph.D. Student\, Electrical & Computer Engineering  \nAdvisor: Marco Rolandi
URL:https://events.ucsc.edu/event/figuerres-s-ece-ion-transport-mechanisms-for-bioelectronics/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260601T160000
DTEND;TZID=America/Los_Angeles:20260601T170000
DTSTAMP:20260623T040534
CREATED:20260528T210924Z
LAST-MODIFIED:20260528T210924Z
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SUMMARY:Statistics Seminar: From Random Walks to Planning-Ready World Models: A Normative Model of Place Cells
DESCRIPTION:Presenter: Deqian Kong\, PhD student\, UCLA \nDescription: How does the hippocampus turn experience into a cognitive map that is not just a passive record of space but a representation ready for planning? In this talk\, I will present a normative model in which place cells emerge as a non-negative population embedding whose inner products approximate the multi-step random walk transition kernel across a discrete set of time scales. From this single construction\, a great deal follows. First\, the representation reproduces signature biological phenomena: multi-scale place fields that mirror the hippocampal dorsoventral gradient\, theta phase precession as an angular sweep in representational geometry (angle–phase duality)\, and contextual remapping. Second\, and more consequentially\, the resulting cognitive map is proximity-preserving — Euclidean distance in embedding space monotonically tracks graph distance in the environment — so path planning reduces to following the gradient of the learned embedding\, with no value iteration\, no explicit map reconstruction\, and no learned optimal policy. The underlying one-step transition is just random exploration; optimal trajectories arise from inference on the multi-scale kernel. I will argue that this turns place cells from a phenomenological model of space into a planning-centric world model: a single likelihood objective trains the kernel\, and planning\, goal-reaching\, and re-routing under detours or shortcuts all reduce to gradient queries against the learned geometry. I will close by briefly contrasting this proposal with prevailing world models in machine learning — Vision–Language–Action policies\, model-predictive control\, and latent-dynamics models— to highlight what is distinctive about a planning-ready cognitive map built from random exploration alone. \nBio: Deqian Kong is a PhD candidate in Statistics and Data Science at UCLA\, advised by Prof. Ying Nian Wu\, and a student researcher at Google DeepMind. His research develops generative models — latent-variable models\, energy-based models\, and language models — with applications in reasoning\, robotic planning\, drug discovery\, and representational models of spatial navigation. His work has appeared at NeurIPS\, ICML\, ICLR\, ICCV\, UAI\, and CoRL\, with spotlight presentations at NeurIPS 2024 and CoRL 2025. He has previously held research positions at Lambda\, Amazon\, and BioMap Research. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-from-random-walks-to-planning-ready-world-models-a-normative-model-of-place-cells/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260601T160000
DTEND;TZID=America/Los_Angeles:20260601T170000
DTSTAMP:20260623T040534
CREATED:20260421T175854Z
LAST-MODIFIED:20260430T211522Z
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SUMMARY:AM Seminar: Using Math and Experiments to Study the Control of Cell Metabolism
DESCRIPTION:Presenter: Denis Titov\, Assistant Professor\, University of California\, Berkeley \nDescription: Cells run thousands of chemical reactions simultaneously\, and these reactions must be precisely controlled—like a thermostat that prevents overheating. When this control fails\, diseases including diabetes\, cardiovascular disease\, and fatty liver disease result. One key control mechanism is allosteric regulation\, where a small molecule binds to an enzyme and changes its activity. Allosteric regulation is among the most conserved features of cellular life\, yet the functions it serves remain one of the oldest unsolved problems in biology. Several roles have been proposed\, but since the discovery of allostery in the 1950s\, no one has systematically disabled it in metabolic enzymes and measured the consequences. Four technological advances now converge to make this possible. CRISPR enables precise genome editing of allosteric sites. Structural biology has mapped which residues to target. LC-MS metabolomics makes metabolic phenotyping routine. The speed of modern computers enables detailed modeling of allosteric regulator function. In this talk\, I will describe our work developing and testing the first-in-class biophysical model of a metabolic pathway that accurately predicts responses to the addition or removal of allosteric regulators. Our work provides a framework for developing predictive models of cell metabolism that can be used for drug development or for engineering cells for energy production and chemical synthesis. Within a decade\, we plan to develop a model that accurately predicts metabolic activity in any human cell type under any condition. \nAbout the speaker: Denis Titov is an Assistant Professor at the University of California Berkeley with joint appointments in the Department of Metabolic Biology and Nutrition\, Department of Molecular and Cell Biology\, and Center for Computational Biology. Dr. Titov’s long-term research dream is to improve the understanding of human metabolic pathway regulation to a point where we can accurately predict metabolic pathway activity in any cell type\, under any condition\, and in response to any perturbation. Dr. Titov is interested in the following broad questions: How does metabolic homeostasis emerge from the activities of individual enzymes? What trade-offs drove the evolution of specific metabolic pathways and their control mechanisms? How to effectively combine data and biophysical models to simulate metabolic pathways? To tackle these questions\, Titov lab is using a combination of biochemistry\, mathematical modeling\, physiology\, custom instrumentation\, and genetically encoded tool development to study metabolism in mammalian cells and reconstituted biochemical systems. \nThis seminar is hosted by Professor Nilah Ioannidis.
URL:https://events.ucsc.edu/event/am-seminar-using-math-and-experiments-to-study-the-control-of-cell-metabolism/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260527T120000
DTEND;TZID=America/Los_Angeles:20260527T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000284-1779883200-1779886800@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-05-27/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260526T093000
DTEND;TZID=America/Los_Angeles:20260526T113000
DTSTAMP:20260623T040534
CREATED:20260519T162948Z
LAST-MODIFIED:20260519T162948Z
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SUMMARY:Weber\, Z. (ECE) - Sustainable Bioinspired Polymer–Mineral Composites for Adaptable Repair in Conservation Applications
DESCRIPTION:Every year\, tens of thousands of tons of plaster-based materials are used in restoration and conservation applications\, many of which are derived from non-renewable sources and discarded at the end of their service life. Here\, we introduce a biodegradable\, bio-derived composite based on chitosan and calcium carbonate that is composed of simple\, widely available constituents and designed for adaptable repair applications. By varying polymer molecular weight\, concentration\, and mineral content\, the composite can be formulated to span injectable\, paste-like\, and putty-like behaviors\, enabling accommodation of diverse structural filling and stabilization needs. We examine relationships between composition\, flow behavior\, and mechanical performance through rheological characterization of the wet composite and measurements of bulk density\, porosity\, and compressive strength in the hardened state. Rather than targeting a single optimized formulation\, this work demonstrates a tunable material platform in which relationships between composition\, flow behavior and mechanical performance guide selection of material behavior based on application requirements. Future applications of this approach include sustainable repair and conservation materials for exhibits\, architectural restoration\, and other contexts where adaptable handling\, mechanical integrity\, and biodegradability are desired. \nEvent Host: Zoë Weber\, Ph.D. Student\, Electrical & Computer Engineering  \nAdvisor: Marco Rolandi \nZoom: https://ucsc.zoom.us/j/96509847894?pwd=Q5w4oFaXQQD4rbEehZHxuevh12Piar.1 \nPasscode: 324003
URL:https://events.ucsc.edu/event/weber-z-ece-sustainable-bioinspired-polymer-mineral-composites-for-adaptable-repair-in-conservation-applications/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260518T160000
DTEND;TZID=America/Los_Angeles:20260518T170000
DTSTAMP:20260623T040534
CREATED:20260429T152454Z
LAST-MODIFIED:20260429T152454Z
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SUMMARY:AM Seminar: Dissecting Complex Disease Mechanisms with Causal Inference and Deep Learning
DESCRIPTION:Presenter: Dr. David A. Knowles\, New York Genome Center & Columbia University \nDescription: Many human diseases have a substantial genetic component\, which association studies are increasingly capable of characterizing\, empowered by ever-growing sample sizes. These associations have the potential to elucidate complex disease biology and prioritize therapeutic interventions. However\, it is challenging to determine the impacted genes\, pathways and cellular states since most risk variants are noncoding. I will describe strategies we have explored to address this challenge\, particularly in the context of Alzheimer’s disease. We have mapped genetic effects on expression\, splicing and RNA editing in over 10k postmortem brain samples\, enabling interpretation of common variant associations. We developed a Mendelian randomization-based causal network inference method to estimate how genetic effects propagate through the gene network to converge on disease risk. We show that deep learning models of pre- and post- transcriptional regulation can refine functional fine-mapping\, improve the portability of polygenic risk scores across ancestries\, and increase power in novel annotation-aware noncoding rare variant association studies. Finally\, we designed a CRISPR/Cas13-based strategy to perform isoform-specific knockdown\, opening the door for isoform-resolved functional characterization of putative disease-causal transcriptomic changes. \nAbout the speaker: Dr. Knowles studied Natural Sciences and Information Engineering at Cambridge before obtaining an MSc in Bioinformatics and Systems Biology at Imperial College London. During his PhD in the Cambridge University Machine Learning Group under Zoubin Ghahramani he worked on variational inference and Bayesian nonparametric models. He was a postdoc at Stanford developing methods for functional genomics with Daphne Koller (CS)\, Sylvia Plevritis (Computational Systems Biology/Radiology) and Jonathan Pritchard (Genetics/Biology). At Columbia\, he is an Associate Professor of Computer Science\, an Interdisciplinary Appointee in Systems Biology and an Affiliate Member of the Data Science Institute. He is also a Core Faculty Member at the New York Genome Center. His group develops methods to better understand the genetic basis of human disease. \n\n\n\nThis seminar is hosted by Professor Nilah Ioannidis.
URL:https://events.ucsc.edu/event/am-seminar-dissecting-complex-disease-mechanisms-with-causal-inference-and-deep-learning/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260518T160000
DTEND;TZID=America/Los_Angeles:20260518T170000
DTSTAMP:20260623T040534
CREATED:20260408T220408Z
LAST-MODIFIED:20260408T220408Z
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SUMMARY:Statistics Seminar: Unifying Regression-Based and Design-Based Causal Inference in Time-Series Experiments and Crossover Experiments
DESCRIPTION:Presenter: Peng Ding\, Associate Professor\, UC Berkeley \nDescription: I will present some recent results on unifying regression-based and design-based causal inference in time-series experiments and crossover experiments. Part I: Time-series experiments\, also called switchback experiments or N-of-1 trials\, play increasingly important roles in modern applications in medical and industrial areas. Under the potential outcomes framework\, recent research has studied time-series experiments from the design-based perspective\, relying solely on the randomness in the design to drive the statistical inference. Focusing on simpler statistical methods\, we examine the design-based properties of regression- based methods for estimating treatment effects in time-series experiments. We demonstrate that the treatment effects of interest can be consistently estimated using ordinary least squares with an appropriately specified working model and transformed regressors. Additionally\, we show that asymptotically\, the heteroskedasticity and autocorrelation consistent variance estimators provide conservative estimates of the true\, design-based variances. This part is based on https://arxiv.org/pdf/2510.22864  \nPart II: Crossover designs randomly assign each unit to receive a sequence of treatments. By comparing outcomes within the same unit\, these designs can effectively eliminate between-unit variation and facilitate the identification of both instantaneous effects of current treatments and carryover effects from past treatments. They are widely used in traditional biomedical studies and are increasingly adopted in modern digital platforms. However\, standard analyses of crossover designs often rely on strong parametric models\, making inference vulnerable to model misspecification. We unify the analysis of crossover designs using least squares\, with restrictions on the coefficients and weights on the units. Based on the theory\, we recommend specifying the regression function\, weighting scheme\, and coefficient restrictions to assess identifiability\, construct efficient estimators\, and estimate variances in a unified manner. This part is based on https://arxiv.org/pdf/2511.09215 \nAbout the speaker: Peng Ding is an Associate Professor in the Department of Statistics at UC Berkeley. He obtained his Ph.D. from the Department of Statistics\, Harvard University in May 2015 and worked as a postdoctoral researcher in the Department of Epidemiology\, Harvard T. H. Chan School of Public Health until December 2015. Previously\, he received his B.S. in Mathematics\, B.A. in Economics\, and M.S. in Statistics from Peking University. \nThis seminar is hosted by Professor Allen Kei.
URL:https://events.ucsc.edu/event/statistics-seminar-unifying-regression-based-and-design-based-causal-inference/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260515T130000
DTEND;TZID=America/Los_Angeles:20260515T160000
DTSTAMP:20260623T040534
CREATED:20260306T005653Z
LAST-MODIFIED:20260429T224549Z
UID:10009405-1778850000-1778860800@events.ucsc.edu
SUMMARY:STEM Culture Festival
DESCRIPTION:The STEM Culture Festival is returning to UC Santa Cruz on Friday\, May 15 from 1-4pm in the Baskin Engineering Courtyard. Join us! \nThis year\, we’re expanding with even more performances\, activities\, and creative ways to celebrate UCSC’s vibrant\, diverse\, and excellent STEM culture!  \nWhat to expect: \n\nCuban Dance Master Susana Arenas and her troupe of Orisha dancers led by Cuban Drum Master Toribio Garcia return for a rousing\, communal dance\n\nStudent performers: Los Mejicas and their traditional baile folklórico followed by an open dance lesson/performance by Slug N’ Boots\n\nSTEM-themed drag performances and spoken word poetry by student creatives \n\nAssociate Vice Chancellor for Student Success and Equity Dr. Ebonee Williams (Chemical Engineering\, University of Washington ‘04) will share an inspirational talk on “Bringing our whole selves to STEM!”\n\nEl Buen Taco and Falafel Santa Cruz will be serving delicious food\, completely FREE for all attendees who engage with the student orgs and their activities\n\nMore than just your standard student organization tabling: Games\, interactive demos\, culturally themed activities\, and opportunities to learn more about clubs from all over campus \n\nRaffle for gift cards to be awarded every hour from 1-4pm – must be present to win! \n\nThis event will take place in the Baskin Engineering Courtyard and will be open to all UCSC students\, staff\, and faculty. \nThe STEM Culture Festival celebrates and elevates the many backgrounds\, cultures\, and identities that intersect with our work as scientists\, engineers\, educators\, and members of the UCSC community. It is a rare opportunity when all of UCSC is invited to meet at the engineering school for a time of joy and togetherness. We enthusiastically invite you to attend and be in community with us – especially now in these tumultuous times of division and disunity.  \nThis event represents a collaboration between Baskin Engineering\, the Women’s Center\, the Lionel Cantú Queer Resource Center\, El Centro Latinx and Chicanx Resource Center\, the Asian American and Pacific Islander Resource Center\, the Physical and Biological Sciences Division\, and the Genomics Institute.
URL:https://events.ucsc.edu/event/stem-culture-festival-2026/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Concerts,Performances,Social Gathering,Undergraduate
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260513T120000
DTEND;TZID=America/Los_Angeles:20260513T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000283-1778673600-1778677200@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-05-13/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260511T160000
DTEND;TZID=America/Los_Angeles:20260511T170000
DTSTAMP:20260623T040534
CREATED:20260423T145740Z
LAST-MODIFIED:20260423T145740Z
UID:10013982-1778515200-1778518800@events.ucsc.edu
SUMMARY:Statistics Seminar: Learning under Constraints and Extremes: Methods and Applications in Energy Systems
DESCRIPTION:Presenter: Yu Zhang\, Associate Professor\, ECE Department of UC\, Santa Cruz \nDescription: Modern cyber-physical systems present statistical learning problems that deviate significantly from standard i.i.d. supervised settings. In particular\, two challenges frequently arise: (i) learning under hard structural constraints\, and (ii) learning under severe distributional imbalance and rare events. In this talk\, I present two case studies from energy systems that illustrate these challenges and motivate new learning paradigms. First\, I consider the problem of approximating the solution map of the AC optimal power flow (AC-OPF)\, a nonlinear and nonconvex optimization problem governing power grid operations. Rather than relying solely on labeled optimal solutions\, we develop both unsupervised and semi-supervised physics-informed learning frameworks that incorporate equality constraints directly into the training objective via augmented Lagrangian formulations and implicit gradient estimation. These approaches enable data-efficient learning while maintaining physical feasibility\, and can be interpreted as constrained function estimation where physical laws provide structural supervision. Second\, I discuss short-term power outage forecasting under extreme weather conditions\, where the data exhibit zero inflation\, heavy tails\, and strong temporal dependence. We propose a two-stage modeling framework that separates event occurrence and magnitude\, combining calibrated classification with Tweedie-based regression to better capture rare but high-impact events. Together\, these examples highlight a unifying theme: modern applications often require learning methods that effectively integrate domain structure while remaining robust to challenging data characteristics such as sparsity and extreme events. I conclude with a discussion of broader implications for scalable learning\, uncertainty handling\, and decision-making in complex systems. \nAbout the speaker: Dr. Yu Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California\, Santa Cruz. He received his Ph.D. in Electrical and Computer Engineering from the University of Minnesota\, followed by postdoctoral appointments at the University of California\, Berkeley and the Lawrence Berkeley National Laboratory. Dr. Zhang’s research advances the resilience\, efficiency\, and sustainability of modern electric power systems through innovations in AI-driven optimization\, machine learning\, and dynamic decision-making. His work develops physics-aware learning methods\, stochastic and robust optimization techniques\, and cyber-physical coordination frameworks to support reliable grid operations under uncertainty. Recent projects include learning-augmented outage forecasting\, planning for weather-driven grid hardening\, and integrating large flexible loads such as data centers into market and operational strategies. Dr. Zhang has been recognized with multiple awards\, including the 2025 Outstanding Young Investigator Award from the Energy Systems Division of the Institute of Industrial and Systems Engineers (IISE)\, the 2021 Early Career Best Paper Award from the INFORMS Energy\, Natural Resources\, and the Environment (ENRE) Section\, and the 2019 Hellman Fellowship. \nThis seminar is hosted by Professor Allen Kei. \n 
URL:https://events.ucsc.edu/event/statistics-seminar-learning-under-constraints-and-extremes/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260511T160000
DTEND;TZID=America/Los_Angeles:20260511T170000
DTSTAMP:20260623T040534
CREATED:20260414T161025Z
LAST-MODIFIED:20260414T161025Z
UID:10012118-1778515200-1778518800@events.ucsc.edu
SUMMARY:AM Seminar: Column Subset Selection: Theory\, Structure\, and Algorithms
DESCRIPTION:Presenter: Anil Damle\, Associate Professor\, Cornell University \nDescription: The column subset selection problem is a classical topic in numerical linear algebra\, with renewed interest driven by applications in computational quantum chemistry\, integral equations\, model reduction\, and model compression in machine learning. This talk surveys recent advances that clarify how structural properties of a matrix influence the performance of column selection algorithms. We focus on structure-aware and randomized methods\, highlighting both theoretical guarantees and practical algorithmic consequences. \nAbout the speaker: Anil Damle is an associate professor of computer science at Cornell University. His research focuses on the development and analysis of robust and efficient algorithms in applied and computational mathematics that exploit structure coming from underlying physical or statisical models. He interfaces with a broad range of application areas\, and his work is inherently interdisciplinary—with the ultimate goal of developing algorithms that are usable for practitioners. He received his PhD from Stanford University in computational and mathematical engineering (ICME)\, and his MS in applied mathematics and BS in applied mathematics and computer engineering from the University of Colorado\, Boulder. \nThis seminar is hosted by Applied Mathematics.
URL:https://events.ucsc.edu/event/am-seminar-column-subset-selection-theory-structure-and-algorithms/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/04/Anil_Damle_square.jpg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260506T100000
DTEND;TZID=America/Los_Angeles:20260506T120000
DTSTAMP:20260623T040534
CREATED:20260422T165518Z
LAST-MODIFIED:20260422T165518Z
UID:10013971-1778061600-1778068800@events.ucsc.edu
SUMMARY:Wang\, Q. (STAT) - Modern Statistical Methods for Modeling Spatial and Temporal Processes
DESCRIPTION:Modern scientific studies increasingly rely on complex datasets exhibiting spatial and temporal dependence\, particularly in social\, environmental\, and climate applications. This dissertation develops statistical models and computational methods for analyzing such data\, with an emphasis on capturing dependence structures\, nonlinear dynamics\, and uncertainty quantification. \nA spatial deep learning framework is developed to extend classical geostatistical models by incorporating convolutional neural network architectures\, allowing for flexible modeling of complex and nonstationary spatial dependence The proposed approach preserves principled uncertainty quantification alongside improved predictive performance for large and heterogeneous spatial datasets. \nIn the temporal domain\, a Bayesian hierarchical echo state network model is introduced for count-valued time series\, providing a flexible alternative to traditional autoregressive approaches. By embedding reservoir computing within a hierarchical probabilistic framework\, the model accommodates nonlinear temporal dynamics while enabling coherent inference and uncertainty quantification\, which are typically absent in standard neural network approaches. \nAlongside these model-driven developments\, we conduct a data-driven analysis of Northern Hemisphere snow cover using weekly satellite-derived observations from 1972 to 2024. A spatio-temporal modeling framework is developed that combines a seasonal two-state Markov structure for temporal dynamics with a Besag–York–Mollié (BYM) formulation to capture spatial dependence\, allowing both trend and seasonal effects to vary across space. Covariates including temperature\, latitude\, and elevation are incorporated to explain observed patterns. The analysis reveals substantial spatial heterogeneity and pronounced seasonal structure\, including week-specific trends and a coherent wave-like pattern of snow cover changes across continents. \nTogether\, this thesis addresses key limitations of classical approaches to spatial and temporal data analysis\, which often rely on restrictive assumptions that limit their ability to capture complex dependence structures and nonlinear dynamics. By integrating modern machine learning techniques with statistical modeling and complementing these developments with data-driven scientific analysis\, this dissertation provides a flexible and principled framework for understanding complex spatio-temporal processes while maintaining uncertainty quantification. \n  \nEvent Host: Qi Wang\, Ph.D. Candidate\, Statistical Science  \nAdvisor: Paul Parker \nZoom: https://ucsc.zoom.us/j/97486222296?pwd=419R7C5I6gLbbB0eLqwMcSVQLTN7bA.1 \nPasscode: 766602
URL:https://events.ucsc.edu/event/wang-q-stat-modern-statistical-methods-for-modeling-spatial-and-temporal-processes/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/04/ph.d.-presentation-graphic-option-1.jpg
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X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260504T160000
DTEND;TZID=America/Los_Angeles:20260504T170000
DTSTAMP:20260623T040534
CREATED:20260430T212558Z
LAST-MODIFIED:20260430T212558Z
UID:10014503-1777910400-1777914000@events.ucsc.edu
SUMMARY:AM Seminar:  Engineering the Earth’s Climate
DESCRIPTION:Presenter: Dr. Pulkit Dubey\, Postdoc\, UC Santa Cruz \nDescription: Neural climate emulators such as NeuralGCM and LUCIE offer efficient\, differentiable alternatives to General Circulation Models (GCMs)\, producing climate predictions at a fraction of the cost. While work to date has focused largely on predictive accuracy\, we leverage differentiability to study control of long-horizon climatological targets. Classical GCMs approach this via adjoint-based optimization. Backpropagation through time (BPTT) is its neural-network analog and inherits the same chaotic gradient explosion at long rollouts. We combine BPTT-based sensitivities with receding-horizon optimization to mitigate the chaotic divergence and enable meaningful control over climatological targets. We illustrate with two candidate climate-cooling strategies and close by sketching reinforcement-learning extensions. \nAbout the speaker: Pulkit Dubey is a postdoc in the Department of Applied Mathematics at UC Santa Cruz. He earned his PhD at the University of New Hampshire on the simulation and modeling of turbulent flows\, where he developed hybrid solvers for 2D turbulence. He joined UCSC in September 2025\, where he works on control strategies for neural climate emulators\, enabling long-horizon control over statistical targets in chaotic dynamical systems. \nThis seminar is hosted by Professor Nilah Ioannidis.
URL:https://events.ucsc.edu/event/am-seminar-engineering-the-earths-climate/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/04/download.jpeg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260504T160000
DTEND;TZID=America/Los_Angeles:20260504T170000
DTSTAMP:20260623T040534
CREATED:20260312T222740Z
LAST-MODIFIED:20260429T174906Z
UID:10011317-1777910400-1777914000@events.ucsc.edu
SUMMARY:Statistics Seminar: Advancing Statistical Rigor in Single-Cell and Spatial Omics Using In Silico Control Data
DESCRIPTION:Presenter: Guan’ao Yan\, Assistant Professor\, Michigan State University \nDescription: Single-cell and spatial transcriptomics technologies now let us map cellular diversity and tissue organization at high resolution\, but the computational methods built to analyze these data are difficult to evaluate in a rigorous\, reproducible way. Two key barriers are the lack of realistic synthetic data with known ground truth and the ambiguity in how we define biologically meaningful spatial patterns. This talk will introduce two simulation frameworks—scReadSim for single-cell RNA-seq and ATAC-seq data\, and scIsoSim for isoform-level expression and splicing—that generate realistic sequencing reads while preserving user-specified truth. These tools enable fair\, controlled benchmarking of quantification and splicing methods across experimental protocols. The talk will also present a systematic review of 34 methods for detecting spatially variable genes (SVGs) in spatial transcriptomics data\, proposing a new categorization of SVGs and outlining how future benchmarks should be designed. Overall\, the goal is to improve statistical rigor\, interpretability\, and comparability in single-cell and spatial omics analysis. \nBio: Guan’ao Yan is an Assistant Professor of Computational Mathematics\, Science & Engineering at Michigan State University. He received his Ph.D. in Statistics from UCLA. His research focuses on statistical and computational methods for modern statistical genomics\, particularly single-cell and spatial omics\, with an emphasis on rigorous benchmarking\, interpretability\, and biomedical discovery. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-advancing-statistical-rigor-in-single-cell-and-spatial-omics-using-in-silico-control-data/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/03/Guanao-scaled.jpeg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260429T120000
DTEND;TZID=America/Los_Angeles:20260429T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000282-1777464000-1777467600@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-29/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2025/09/b19cd317e2122064e85e5d3d896b4e3426736249.jpg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
DTSTAMP:20260623T040534
CREATED:20260408T192436Z
LAST-MODIFIED:20260408T192436Z
UID:10012081-1777305600-1777309200@events.ucsc.edu
SUMMARY:AM Seminar: Machine Learning in Molecular Simulations: From Free Energy to Vibrational Spectroscopy
DESCRIPTION:Presenter: Marcos Calegari Andrade\, Assistant Professor\, Chemistry and Biochemistry\, UC Santa Cruz \nDescription: In this talk\, I will demonstrate how neural networks can represent the high-dimensional potential energy surfaces of many-body systems. By achieving the accuracy of first-principles quantum calculations at a fraction of the computational cost\, these models enable atomistic simulations of condensed matter at unprecedented scales. I will discuss how this approach provides a detailed lens into chemical reaction dynamics under experimentally relevant conditions and facilitates the direct calculation of observables\, such as vibrational spectra\, effectively bridging the gap between theoretical simulation and experimental observation. \nAbout the speaker: Marcos Calegari Andrade is an Assistant Professor in the Department of Chemistry and Biochemistry at the University of California\, Santa Cruz. He earned his PhD from Princeton University\, where he developed machine learning models to simulate the chemistry and vibrational spectroscopy of condensed-phase systems. He later joined the Quantum Simulations Group at Lawrence Livermore National Laboratory\, applying deep neural network models to fundamental challenges in climate and energy security. His current research at UCSC focuses on the application of machine learning to molecular simulations\, with a particular emphasis on chemical reaction mechanisms\, vibrational spectroscopy\, and the development of automated simulation frameworks. \nThis seminar is hosted by Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-machine-learning-in-molecular-simulations/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/04/calegariandr1.png
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260427T160000
DTEND;TZID=America/Los_Angeles:20260427T170000
DTSTAMP:20260623T040534
CREATED:20260408T191555Z
LAST-MODIFIED:20260408T191555Z
UID:10012080-1777305600-1777309200@events.ucsc.edu
SUMMARY:Statistics Seminar: Active Learning for Fair and Stable Allocations
DESCRIPTION:Presenter: Riddhiman Bhattacharya\, Postdoc\, UCSC \nDescription: We propose an active learning approach for dynamic fair resource allocation problems. In contrast to prior work that assumes full feedback from all agents on their allocations\, we focus on scenarios where feedback is available only from a carefully select subset of agents at each epoch of the online resource allocation process. Despite this limitation\, our algorithms achieve sub-linear regret in the number of time-periods for multiple fairness metrics commonly used in resource allocation problems and stability constraints inherent to matching mechanisms. The core innovation of our approach lies in the adaptive identification of the most informative feedback through dueling upper and lower confidence bounds. This strategy enables efficient decision-making with limited feedback\, achieving favorable outcomes across various problem classes. \nAbout the speaker: I am Riddhiman Bhattacharya\, currently a postdoc at UCSC\, Statistics Department\, working with Justin (Sangwon Hyun). I have previously been a postdoc at Purdue and have obtained my PhD from the University of Minnesota in Statistics. I am interested in methodological development in statistics with varied applications including oceanography\, biology and economics. I am also interested in theoretical development of statistics particularly in the fields of Markov Chain Monte Carlo\, Optimization and Fast Sampling.
URL:https://events.ucsc.edu/event/statistics-seminar-active-learning-for-fair-and-stable-allocations/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260424T110000
DTEND;TZID=America/Los_Angeles:20260424T130000
DTSTAMP:20260623T040534
CREATED:20260210T203327Z
LAST-MODIFIED:20260402T212342Z
UID:10009194-1777028400-1777035600@events.ucsc.edu
SUMMARY:DNA Day
DESCRIPTION:Please join the UC Santa Cruz Genomics Institute for our annual celebration of DNA! \nWe will be in the Baskin Engineering courtyard from 11am-1pm with swag\, music\, and activities. This is a fun\, family-friendly event and open to the public. Activities will include: \n\nStrawberry DNA Extraction demonstration (WiSE)\nDouble helix origami\nPoster session and resource fair\nFace painting\nStickers\, bookmarks\, pins\, and other swag\nDouble human helix conga line (everyone who participates gets a free shirt!)\n\nStop by and learn about the amazing molecule that codes all of life. 🧬❤️ \nWant to be a part of DNA Day? Sign up to: \n1. Give a poster presentation\n2. Volunteer during DNA day\n3. Have your student group or org participate in our resource fair
URL:https://events.ucsc.edu/event/dna-day/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Undergraduate
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/02/4-21-23-DNA-Day-CL-025-1-scaled.jpg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T180000
DTEND;TZID=America/Los_Angeles:20260423T193000
DTSTAMP:20260623T040534
CREATED:20260402T213440Z
LAST-MODIFIED:20260402T222539Z
UID:10012030-1776967200-1776972600@events.ucsc.edu
SUMMARY:Climate Week Tech Connect: Energy Solutions
DESCRIPTION:Join Baskin Engineering to explore the frontier of power engineering\, where the rapid rise of electrification and digital infrastructure is creating an unprecedented demand for next-generation talent and a critical opportunity for sustainability.  \nThis networking event bridges the gap between the classroom and the field\, offering students and faculty a front-row seat to the trends and high-impact career opportunities shaping our energy future. The event is part of Baskin Engineering Climate Week\, focused on raising awareness of climate issues and sustainability research and teaching. \nWhere: BE Courtyard\nWhen: Thursday\, April 23\, 6:00-7:30 p.m. \nWe hope to see you there!
URL:https://events.ucsc.edu/event/climate-week-tech-connect-energy-solutions/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/01/BElogoWHITE.png
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260423T140000
DTEND;TZID=America/Los_Angeles:20260423T170000
DTSTAMP:20260623T040534
CREATED:20260403T215527Z
LAST-MODIFIED:20260403T220700Z
UID:10012043-1776952800-1776963600@events.ucsc.edu
SUMMARY:Climate Tech & Sustainability Showcase
DESCRIPTION:Join us for a Climate Tech & Sustainability Showcase\, where students\, faculty\, climate and sustainability-focused companies\, founders\, and community organizations come together to share their work and ideas. The event is part of Baskin Engineering Climate Week\, focused on raising awareness of climate issues and sustainability research and teaching. \nExplore a range of interactive demos\, poster presentations\, and tabling displays highlighting innovative research\, emerging technologies\, and real-world solutions to climate challenges. Baskin Engineering student organizations will also be on hand to share their climate friendly projects! \nCome network\, promote your organization\, and meet up-and-coming talent alongside other passionate\, like-minded members of the climate and sustainability community. \nWhere: BE Courtyard\nWhen: 2:00-5:00 p.m.
URL:https://events.ucsc.edu/event/climate-tech-sustainability-showcase/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
ATTACH;FMTTYPE=image/jpeg:https://events.ucsc.edu/wp-content/uploads/2026/04/4-23-25-climate-week-cl-002-scaled.jpg
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260421T100000
DTEND;TZID=America/Los_Angeles:20260421T113000
DTSTAMP:20260623T040534
CREATED:20260401T234645Z
LAST-MODIFIED:20260401T234645Z
UID:10011845-1776765600-1776771000@events.ucsc.edu
SUMMARY:BE Climate & Cookies Student Pop-Up!
DESCRIPTION:Come get excited about Baskin Engineering Climate Week at our student pop-up! 🌎 \nClimate Week is a chance to explore how Baskin Engineering is addressing climate challenges through innovative research\, teaching\, and hands-on projects. \nDiscover the events happening throughout the week and find ways to get involved! \nSwing by for FREE BE swag\, coffee\, cookies\, Climate Week stickers\, and more—first come\, first served! \nWhere: BE Courtyard\nWhen: Tuesday\, April 21\, 10:00-11:30 a.m. \nWe hope to see you there!
URL:https://events.ucsc.edu/event/be-climate-week-pop-up-2026/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Social Gathering
ATTACH;FMTTYPE=image/png:https://events.ucsc.edu/wp-content/uploads/2026/04/BE-climate-week-pop-up.png
GEO:37.000369;-122.0632371
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Jack Baskin Engineering Baskin Engineering 1156 High Street Santa Cruz CA 95064;X-APPLE-RADIUS=500;X-TITLE=Baskin Engineering 1156 High Street:geo:-122.0632371,37.000369
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260416T083000
DTEND;TZID=America/Los_Angeles:20260416T170000
DTSTAMP:20260623T040534
CREATED:20260324T205608Z
LAST-MODIFIED:20260325T173958Z
UID:10011393-1776328200-1776358800@events.ucsc.edu
SUMMARY:25th MARINe Annual Meeting - Public Day
DESCRIPTION:  \nPublic Day – April 16 (All are welcome)\nTime: 8:30 AM – 5:00 PM\nLocation: Jack Baskin E2-180\, UCSC Main Campus\nRegistration: $60 (paid upon arrival; cash only) \nWe hope you can join us for the 25th MARINe Annual Meeting at UC Santa Cruz\, hosted by the Raimondi Lab and Multi-Agency Rocky Intertidal Network (MARINe). \nFrom intertidal ecology to cutting-edge coastal research (and plenty of tidepool appreciation)\, this is your chance to connect\, learn\, and explore what’s happening along our shores. \nThis day is open to practitioners\, partners\, and the broader community\, and will focus on timely topics in rocky intertidal systems. \n  \n👉 Register here (by April 1):\n MARINe Meeting 2026 PUBLIC DAY Registration Form \nAgenda:   DRAFT meeting agenda here \nKey Details\nParking: \n\nParking will be included all day\, but you must check in from 7:30-9:30am at the Core West Parking Structure. Please check in with the parking attendants on the SECOND FLOOR to receive included parking. You may park on any level of the structure.\n\nPlease note the parking attendants will have a list of registrants and we will be checking you in at the door as well.\n\n\nIf you miss this time window\, you must pay for your own parking in one of the many UCSC lots using the Parkmobile app for daily ($22) or hourly rates ($5/hr).\nFood:\nLight breakfast\, lunch (tacos)\, and snacks will be provided. Coffee\, tea\, and drinks included. Please bring your own cup if possible. \nOptional Social Hour:\n6–8 PM at Abbott Square (not included in registration) \n\nIf you have any questions\, please contact Lexi Necarsulmer (anecarsu@ucsc.edu). \nWe hope to see you there!
URL:https://events.ucsc.edu/event/25th-marine-annual-meeting-public-day/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Conference
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DTSTART;TZID=America/Los_Angeles:20260415T120000
DTEND;TZID=America/Los_Angeles:20260415T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
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SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-15/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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DTSTART;TZID=America/Los_Angeles:20260413T160000
DTEND;TZID=America/Los_Angeles:20260413T170000
DTSTAMP:20260623T040534
CREATED:20260406T170431Z
LAST-MODIFIED:20260406T170431Z
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SUMMARY:AM Seminar: Genetically Admixed Groups as a Laboratory for Mathematical Modeling and Discovery
DESCRIPTION:Presenter: Dr. Aw\, Department of Genetics\, University of Pennsylvania \nDescription: Admixed groups consist of individuals descended from two or more historically separated ancestral populations\, and they are underrepresented in biomedical studies. Admixed individuals are unique in that they carry mosaics of ancestral segments within their genome\, so their genetic information is typically summarized as a pair of genotype and local ancestry data matrices. I will present two research projects on admixed groups: one applying statistical models to study genetic architecture and polygenic risk\, and another using biomedical data analysis to motivate combinatorial and probabilistic questions. In the “math to genetics” direction\, we describe structural causal models that show local and global genetic ancestry are instruments for epistasis. These models of genetic architecture imply that certain polygenic scores can differentiate between cis and trans epistases\, and highly similar cross-ancestry genetic effects do not rule out pervasive gene-gene or gene-environment interactions. In the “genetics to math” direction\, we study the enumeration of genotype and local ancestry data matrices — which we call admixed arrays — subject to constraints that arise naturally in biomedical applications. Using saddle-point approximation and complex martingale techniques\, we show that admixed arrays admit a different independence heuristic than the closely related binary contingency tables (e^(–1/4) vs e^(–1/2) correction factor). If time permits\, we will discuss ongoing work on designing algorithms for performing exact and approximate enumeration. \nAbout the speaker: Alan Aw is a mathematical scientist specializing in human statistical and population genomics. He is currently a postdoctoral researcher with the Department of Genetics at the University of Pennsylvania\, having obtained a PhD in Statistics at UC Berkeley and studied Applied Mathematics as an undergraduate. His research centers on the genetics and mathematical modeling of underrepresented groups. This includes statistical modeling and analyses of Biobank-scale admixed cohorts to better understand the genetic architecture of biomedical traits and improve genetic risk prediction\, developing non-parametric hypothesis testing methods for genomics\, and interdisciplinary approaches to studying European demographic history inclusive of indigenous Siberians. He is a member of the PRIMED Consortium and a trainee under a National Institutes of Health T32 Grant in Genomic Medicine. \nHosted By: Applied Mathematics  \n 
URL:https://events.ucsc.edu/event/am-seminar-genetically-admixed-groups/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260407T114000
DTEND;TZID=America/Los_Angeles:20260407T131500
DTSTAMP:20260623T040534
CREATED:20260306T222258Z
LAST-MODIFIED:20260306T222514Z
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SUMMARY:Next Wave of Faculty in Genomics Symposium
DESCRIPTION:The BME Department and Genomics Institute are once again hosting our annual Next Wave of Faculty in Genomics Symposium\, which will be held on April 7th from 11:40–1:15 in E2 180. Please join us to hear cutting-edge genomics talks from outstanding postdocs from around the country! \nA burrito reception catered by Alebrije’s will follow immediately after the talks. Registration is free\, but required\, so please RSVP HERE!  \nThis year’s speakers include:  \n\nDr. Yutong Wang\, UC San Francisco\nTalk title: “A genome-wide CRISPR activation screen of surface protein expression in primary human CD4 T cells”\nDr. Ian Traniello\, Princeton\nTalk title: “The Making of a Queen: Neurogenomic Building Blocks of Social Dominance in Bee Societies”\nDr. Alex Cope\, Vanderbilt University\nTalk title: “Unlocking the rules of proteome evolution by integrating evolutionary theory\, mechanistic models\, and functional genomics”\nDr. Conner Langeberg\, UC Berkeley\nTalk title: “Interpreting RNA Foundation Models to Reveal Structure\, Function\, and Biological Organization”
URL:https://events.ucsc.edu/event/next-wave-of-faculty-in-genomics-symposium/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260401T120000
DTEND;TZID=America/Los_Angeles:20260401T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000280-1775044800-1775048400@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-04-01/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260318T120000
DTEND;TZID=America/Los_Angeles:20260318T130000
DTSTAMP:20260623T040534
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000279-1773835200-1773838800@events.ucsc.edu
SUMMARY:Engineering Teaching Community (Faculty)
DESCRIPTION:During the chaos of a quarter\, is it hard to find time to reflect and improve as an instructor? Would you like to be a part of an inclusive\, supportive group of engineering instructors who do this in community? ETC is for sharing teaching experiences\, classroom ideas\, research on learning\, and methods that support instructors and students. All are welcome\, and lunch is provided. Please reach out to Jenny Quynn with questions.
URL:https://events.ucsc.edu/event/engineering-teaching-community-faculty/2026-03-18/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
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DTSTART;TZID=America/Los_Angeles:20260313T140000
DTEND;TZID=America/Los_Angeles:20260313T150000
DTSTAMP:20260623T040534
CREATED:20260219T170502Z
LAST-MODIFIED:20260219T170502Z
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SUMMARY:Wang\, H. (CSE) - Accelerating RTL Simulation with Specialized Graph Partitioners
DESCRIPTION:Register transfer level (RTL) simulation is an invaluable tool for developing\, debugging\, verifying\, and validating hardware designs. However\, the performance of RTL simulation has long been a limiting factor in industry. Despite the inherent parallelism of hardware\, current RTL simulators have not achieved practical performance gains due to fundamental challenges in communication\, synchronization\, memory bandwidth\, and architectural mapping. \nThis dissertation addresses the RTL simulation performance problem from three complementary perspectives: optimizing simulation latency through parallelism\, improving aggregate throughput via deduplication\, and enabling efficient GPU acceleration with RTL-native semantics. \nFirst\, we present RepCut\, a parallel RTL simulation methodology that uses replication-aided partitioning to cut circuits into balanced partitions with minimal overlaps. By replicating the overlaps\, RepCut eliminates problematic data dependences between partitions and significantly reduces synchronization overhead. RepCut achieves superlinear speedups of up to 27.10x using 24 threads with only a 3.81% replication cost. \nSecond\, we introduce Simulation Deduplication\, a technique that exploits the extensive reuse of building blocks in modern hardware designs. By generating shared code for duplicated instances and carefully co-scheduling their execution\, we reduce the instruction cache footprint and memory bandwidth pressure. This approach achieves up to 1.95x speedup for single simulations and 2.09x improvement in overall batch simulation throughput. \nThird\, we present Toucan\, a GPU-accelerated RTL simulation framework that preserves RTL semantics rather than flattening designs to gate-level netlists. By leveraging native GPU arithmetic operations and introducing warp-level micro-partitioning with shuffle-based communication\, Toucan achieves efficient mapping of irregular circuit topologies to GPU SIMT architectures while maintaining fast compilation times. Toucan achieves up to 4.73x speedup over the state-of-the-art GPU RTL simulator on large multi-core designs. \nTogether\, these three approaches provide a comprehensive solution to RTL simulation performance optimization\, demonstrating significant improvements over state-of-the-art commercial and open-source simulators across multiple hardware platforms and design scales. \nEvent Host: Haoyuan Wang\, Ph.D. Candidate\, Computer Science and Engineering \nAdvisor: Jose Renau \nZoom- https://ucsc.zoom.us/j/94044618343?pwd=xZkK8GmD28P2Vf8pbyl6aoOaNxxhya.1 \nPasscode- 574772
URL:https://events.ucsc.edu/event/wang-h-cse-accelerating-rtl-simulation-with-specialized-graph-partitioners/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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