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DTSTART;TZID=America/Los_Angeles:20251112T120000
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DTSTAMP:20260418T190503
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/2025-11-12/
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:20251110T160000
DTEND;TZID=America/Los_Angeles:20251110T170000
DTSTAMP:20260418T190503
CREATED:20251003T195525Z
LAST-MODIFIED:20251022T182510Z
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SUMMARY:AM Seminar: Structure-Preserving Discretizations and their Applications
DESCRIPTION:Presenter: Andy Wan\, Assistant Professor\, University of California\, Merced \n  \nDescription: Many models from science and engineering possess fundamental structures which are important to preserve in order for accurate and stable long-term predictions. For instance\, preserving conserved quantities\, such as energy\, mass and momentum\, are fundamental in many physical systems. Moreover\, preserving dissipative quantities\, such as entropy or Lyapunov functions\, are also essential for predicting correct asymptotic limits. In this talk\, we will survey a recent new class of conservative and dissipation-preserving integrators\, called the Discrete Multiplier Method (DMM). We will discuss various applications to many-body systems\, geodesic flow\, and particle methods in fluids and kinetic models. Moreover\, we will introduce Conservative Hamiltonian Monte Carlo\, which utilizes DMM to improve sampling efficacy of Hamiltonian Monte Carlo for high dimensional target distributions. If time permits\, we will also discuss how structure-preservation in scientific machine learning can improve long-term predictions and be amenable to error analysis on accuracy bounds. \n  \nBio: Andy Wan is an Assistant Professor in the Department of Applied Mathematics at the University of California\, Merced (UC Merced). Prior to joining UC Merced in 2024\, he received his Ph.D. from Polytechnique Montreal\, and was a postdoctoral fellow at McGill University and later an assistant professor at the University of Northern British Columbia. His research interests are in numerical analysis\, scientific computing\, and scientific machine learning. He focuses on structure-preserving discretizations\, specifically in the theory and development of conservative and dissipation-preserving integrators\, as well as their applications to mathematical sciences\, computational statistics and scientific machine learning. He is currently a co-investigator of the 2024-2027 Collaborative Research Group on “Structure-Preserving Discretizations and their Applications”\, supported by the Pacific Institute for the Mathematical Sciences (PIMS). He has also recently co-organized a summer school and hackathon event on “Structure-Preserving Scientific Computing and Machine Learning”\, supported by NSF and PIMS. \n  \nHosted by: Professor Julie Simons \n 
URL:https://events.ucsc.edu/event/am-seminar-structure-preserving-discretizations-and-their-applications/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251029T120000
DTEND;TZID=America/Los_Angeles:20251029T130000
DTSTAMP:20260418T190503
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/2025-10-29/
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:20251020T160000
DTEND;TZID=America/Los_Angeles:20251020T160000
DTSTAMP:20260418T190503
CREATED:20251003T195526Z
LAST-MODIFIED:20251003T195526Z
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SUMMARY:AM Seminar: Sampling-Based Adaptive Rank Integrators for Multi-scale Kinetic Models.
DESCRIPTION:Presenter: Professor Jingmei Qiu\, University of Delaware \n  \nDescription: In this talk\, we introduce a sampling-based semi-Lagrangian adaptive rank (SLAR) method\, which leverages a cross approximation strategy—also known as CUR or pseudo-skeleton decomposition—to efficiently represent low-rank structures in kinetic solutions. The method dynamically adapts the rank of the solution while ensuring numerical stability through singular value truncation and mass-conservative projections. By combining the advantages of semi-Lagrangian integration with low-rank approximations\, SLAR enables significantly larger time steps compared to conventional methods and is extended to nonlinear systems such as the Vlasov-Poisson equations using a Runge-Kutta exponential integrator. Building on this framework\, we further develop the SLAR method for the multi-scale BGK equation\, introducing an asymptotically accurate approach that eliminates the need for low-rank decompositions of the local Maxwellian in the collision operator. To enforce conservation of mass\, momentum\, and energy\, we propose a novel locally macroscopic conservative (LoMaC) technique\, which discretizes the macroscopic system using high-order DIRK methods. Additionally\, a dynamic closure strategy is employed to self-consistently adjust macroscopic moments\, enabling robust simulations across both kinetic and hydrodynamic regimes\, even in the presence of shocks and discontinuities. We validate our method through extensive benchmark tests on linear advection\, unto 3D3V nonlinear Vlasov-Poisson\, and multi-scale kinetic problems\, demonstrating its accuracy\, stability\, and computational efficiency. The Sampling-Based Adaptive Rank framework offers a promising pathway for overcoming the curse of dimensionality in high-dimensional multi-scale kinetic problems. \n  \nBio: Dr. Jingmei Qiu is a Unidel Professor in the Department of Mathematical Sciences at the University of Delaware. Her research focuses on the design\, analysis\, and application of high-order structure-preserving computational algorithms for complex systems characterized by multi-scale\, multi-physics\, and high-dimensional features. Dr. Qiu’s work includes developing low-rank tensor approximations for high-dimensional\, time-dependent problems with structure preservation\, as well as Eulerian-Lagrangian high-order numerical methods for fluid and kinetic applications. \n  \nHosted by: Professor Julie Simons \n 
URL:https://events.ucsc.edu/event/am-seminar-sampling-based-adaptive-rank-integrators-for-multi-scale-kinetic-models/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251015T120000
DTEND;TZID=America/Los_Angeles:20251015T130000
DTSTAMP:20260418T190503
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/2025-10-15/
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:20251006T160000
DTEND;TZID=America/Los_Angeles:20251006T160000
DTSTAMP:20260418T190503
CREATED:20251003T195527Z
LAST-MODIFIED:20251003T195527Z
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SUMMARY:AM Seminar: Applications of the Flow-Density Relationship in Traffic Modeling
DESCRIPTION:Presenter: Dr. Martha Shott\, Department of Mathematics & Statistics\, Sonoma State University \n  \nDescription: Many mathematical models of traffic are macroscopic in nature\, meaning that they model the relationship between average speed\, density\, and flow along a road or freeway segment. One of the fundamental relationships connecting these three quantities is the flow-density relationship\, for which various models have been proposed since the 1930s. In this talk\, we will discuss some of the more commonly used models of the flow-density relationship\, as well as how those models are used within the contexts of stop-and-go congestion\, catastrophe scenarios\, and freeway infrastructure assessment. \n  \nBio: Dr. Martha Shott is an applied mathematician and professor at Sonoma State University. She received her B.S. in Mathematics from Davidson College in North Carolina and subsequently earned her Ph.D. in Applied Mathematics from the University of California\, Davis. While much of her research continues from her dissertation related to traffic flow modeling\, Dr. Shott also works with undergraduate students on ecological modeling. Outside of academia\, she enjoys running\, cooking\, playing board games\, and adapting 80s pop music to be about her pets. \n  \nHosted by: Professor Julie Simons
URL:https://events.ucsc.edu/event/am-seminar-applications-of-the-flow-density-relationship-in-traffic-modeling/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251001T120000
DTEND;TZID=America/Los_Angeles:20251001T130000
DTSTAMP:20260418T190503
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000218-1759320000-1759323600@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/2025-10-01/
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:20251001T120000
DTEND;TZID=America/Los_Angeles:20251001T120000
DTSTAMP:20260418T190503
CREATED:20251003T195523Z
LAST-MODIFIED:20251003T195523Z
UID:10003137-1759320000-1759320000@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-2/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences,Training
GEO:37.000369;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250819T130000
DTEND;TZID=America/Los_Angeles:20250819T130000
DTSTAMP:20260418T190503
CREATED:20250813T070000Z
LAST-MODIFIED:20250925T231430Z
UID:10000102-1755608400-1755608400@events.ucsc.edu
SUMMARY:Moreland\, Z. (AM) - Transcriptomic and Computational Analysis of Burn and Excisional Wound Healing
DESCRIPTION:Accurate assessment of wound healing progress is critical for optimizing patient care and preventing complications\, yet clinicians currently lack precise tools to determine where a wound stands in the healing timeline. Wound healing progresses through overlapping stages of inflammation\, proliferation\, and maturation\, each marked by characteristic shifts in gene expression that are difficult to interpret without robust computational methods. This paper proposes to classify wound healing stages from transcriptomic data using support vector machines combined with biologically informed clustering to serve as features for the hierarchical SVM classifiers. This approach is applied to two distinct wound types: excisional wounds in pigs (21-day timeline) and burn wounds in mice (42-day timeline)\, enabling comparison of classification performance across different injury mechanisms. The models achieved high overall accuracy\, with the burn model performing better at the classification of the stages. Both models made mistakes in distinguishing inflammation from early proliferation\, highlighting the inherent biological overlap between these transitional healing stages. Overall\, we find that transcriptomic-based classification can reliably identify wound healing stages across different wound types\, providing a foundation for developing personalized diagnostic tools that could transform clinical wound management and improve patient outcomes. \nEvent Host: Zoe Moreland\, M.S. Candidate\, Applied Mathematics \nAdvisor: Marcella Gomez
URL:https://events.ucsc.edu/event/moreland-z-am-transcriptomic-and-computational-analysis-of-burn-and-excisional-wound-healing/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
GEO:37.000369;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250807T103000
DTEND;TZID=America/Los_Angeles:20250807T103000
DTSTAMP:20260418T190503
CREATED:20250805T070000Z
LAST-MODIFIED:20250925T231625Z
UID:10000091-1754562600-1754562600@events.ucsc.edu
SUMMARY:Rose\, N. (BMEB) - MACHINE LEARNING MODELS FOR T CELL RECEPTOR TARGET DISCOVERY AND AFFINITY ENGINEERING
DESCRIPTION:T cell receptors (TCRs) mediate antigen-specific immune responses through recognition of peptides presented by major histocompatibility complex (pMHC) molecules. Accurately predicting TCR–pMHC interactions remains a major barrier to TCR-based immunotherapy\, due to limitations in current models that fail to generalize beyond common viral epitopes and well-characterized HLA alleles. In this PhD proposal\, I outline a computational framework that integrates deep learning\, structural modeling\, and molecular simulation to improve TCR–pMHC prediction and discovery. I first introduce TRIOPS\, a convolutional neural network trained on harmonized\, experimentally validated data to predict MHC restriction from TCR sequence alone. TRIOPS outperforms state-of-the-art models in both held-out evaluation and independent patient datasets\, demonstrating improved accuracy in assigning TCRs to their correct restricting MHC alleles. I then propose TRILOBITE\, a two-part structure-based model combining atomic-resolution graph representations and dynamics-derived biophysical features to classify TCR–pMHC binding and estimate affinity. Finally\, I propose an end-to-end pipeline to identify tumor-reactive TCRs from patient-derived sequencing data by integrating HLA typing\, antigen prediction\, structure generation\, and binding assessment. Applied to a pan-cancer atlas of over 1.2 million T cells\, this framework will enable high-throughput\, structure-informed TCR discovery across diverse HLA backgrounds. Together\, these aims address a critical need for scalable\, mechanistically grounded methods for mapping T cell specificity to accelerate cancer immunotherapy discovery. \nEvent Host: Nicholas Rose\, PhD student\, Biomolecular Engineering & Bioinformatics \nAdvisor: Vanessa Jonsson
URL:https://events.ucsc.edu/event/rose-n-bmeb-machine-learning-models-for-t-cell-receptor-target-discovery-and-affinity-engineering/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
GEO:37.000369;-122.0632371
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250424T120000
DTEND;TZID=America/Los_Angeles:20250424T120000
DTSTAMP:20260418T190503
CREATED:20250410T070000Z
LAST-MODIFIED:20250925T231448Z
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SUMMARY:Self-Guided Labyrinth Walk
DESCRIPTION:Join your UCSC colleagues in walking the new campus labyrinth located under the Redwood trees in the Baskin Engineering Circle. A labyrinth is different than a maze in that there are no dead-ends or tricks\, which allows visitors to move through the path and focus on the present. We invite both those who have experienced labyrinths and first-timers.  There is no right or wrong way to travel the path. \nWhy? Labyrinths are a tool for meditation and introspection. Many receive answers to personal questions\, big and small. This first sponsored walk will offer participants the intention of a peaceful world\, one without hate\, bias and discrimination.  This walk can offer folks a start to the new year and/or rest and renewal from 2024. \nWhen? Join us on every 4th Thursday of each month at 12:00 PM for a self-guided labyrinth walk in community. \n\nTo learn more about the labyrinth walk events\, please visit the Labyrinth Wellness Initiate page here. To learn more about the labyrinth\, please visit the UCSC Labyrinth webpage.\n  \nCo-sponsored by the Office of the Ombuds\, Faculty and Staff and Well-Being Program\, and the Well-being Collective.
URL:https://events.ucsc.edu/event/self-guided-labyrinth-walk/
LOCATION:Jack Baskin Engineering\, Baskin Engineering 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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