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SUMMARY:March is Hummingbird Month at the UCSC Arboretum & Botanic Garden
DESCRIPTION:March is Hummingbird Month at the UCSC Arboretum & Botanic Garden \nThis time of year\, the Arboretum hosts both Anna’s and Allen’s hummingbirds\, the two most common species in Northern California. “The density of hummingbirds—the number per area in the Arboretum—is ridiculously high\,” says Bruce Lyon\, Professor Emeriti of Ecology and Evolutionary Biology at UCSC. “You can watch them feeding on flowers\, you can watch their courtship\, you can watch them chasing different species. It’s a great opportunity to see some pretty amazing hummingbird biology.” \nIn celebration of this special time of year\, we invite you to visit the garden as much as possible! We will have presentations\, workshops\, and tours throughout the month. See our webpage for a schedule of activities and more information about hummingbirds and the abundance of plants at the Arboretum that attract them. \nWe will also feature hummingbird merchandise and hummingbird-attracting plants at our gift shop and nursery. Visit Norrie’s Gift & Garden Shop\, Tuesdays thru Sundays from 10 – 4. For more information visit: https://arboretum.ucsc.edu/garden-shop/ \nAll events are free with paid admission: Adults: $10\, Seniors $8 and Youth 4-17 $5. Current UCSC students are free. Rain cancels outdoor activities. \nCurrent Arboretum members are always free and enjoy other great benefits year-round!  Join Today at https://arboretum.ucsc.edu/get-involved/join-us/    \n  \n 
URL:https://events.ucsc.edu/event/march-is-hummingbird-month-at-the-ucsc-arboretum-botanic-garden/
LOCATION:Arboretum\, 122 Arboretum Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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SUMMARY:Optional Practical Training (OPT) Awareness Week
DESCRIPTION:Join us for OPT Awareness Week at UC Santa Cruz\, a supportive and informative series designed to help international students learn about and confidently prepare for Optional Practical Training. You’ll learn application steps\, key timelines\, and employment rules while connecting with advisors and peers who are here to help you succeed. Whether you’re just starting to explore OPT or ready to apply\, this week offers the tools and clarity you need to move forward with confidence. \nVisit our website to explore the different workshops and sessions.
URL:https://events.ucsc.edu/event/optional-practical-training-opt-awareness-week/
LOCATION:CA
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20260305T114000
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SUMMARY:BME 280B Seminar: Artificial intelligence systems to advance engineered T cell immunotherapy designs
DESCRIPTION:Presenter: Zinaida Good\, Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine\, Stanford University \nDescription: T cell immunotherapies have reshaped the treatment landscape for hematologic malignancies and are rapidly extending to solid tumors\, autoimmune diseases\, and transplant tolerance. Yet durable benefit remains inconsistent\, and toxicities remain clinically significant. The current discovery proceeds one edit at a time\, and existing preclinical models do not represent patient biology\, which often results in failure upon clinical translation. Overcoming these challenges to improve patient outcomes and reduce toxicities requires a systems-level understanding of the multiscale factors governing T cell function and toxicity in patients. Artificial intelligence (AI) approaches offer an exciting opportunity to tackle this problem by learning unified representations from diverse data types spanning molecular\, cellular\, and clinical modalities. I will provide an overview on our team’s approaches building AI systems that harness primary patient datasets to directly inform advanced T cell designs optimized for clinical outcomes\, with validation in preclinical models. \nBio: Zinaida Good\, Ph.D.\, is an Assistant Professor of Medicine in the Division of Immunology and Rheumatology and the Division of Computational Medicine at Stanford University. She also serves as the Director of the Stanford Center for Cancer Cell Therapy Data Hub. The goal of her research program is to understand and enhance engineered T cell immunotherapies for cancer and immune-mediated diseases through innovative computational approaches and systems immunology. Her lab leverages innovation in machine learning and clinical multiomic datasets to build artificial intelligence systems for advanced T cell therapy design. Dr. Good earned her Ph.D. in Computational & Systems Immunology from Stanford University. Her work includes 4 first-author papers (Nature Medicine 2018 & 2022\, Nature Biotechnology 2019\, Trends in Immunology 2019)\, 18+ co-authored papers (including Nature 2019\, 2022\, 2024\, Science 2021\, Nature Methods 2016\, 2022\, and NEJM 2024)\, and an initial senior author papers (ICML 2025\, NeurIPS 2025\, Frontiers in Immunology 2025). Her research is supported by the NIH/NCI Pathway to Independence Award\, NIH/OD Multimodal AI Initiative Award\, NIH/NCI Program Project Grant\, and the Weill Cancer Hub West. Dr. Good has been named an Arthur & Sandra Irving Cancer Immunology Fellow in 2022\, Parker Bridge Fellow in 2023\, and an AACR-Woman in Cancer Research Scholar in 2024. \nHosted by: Professor Vanessa Jonsson\, BMEbe Department
URL:https://events.ucsc.edu/event/bme-280b-seminar-artificial-intelligence-systems-to-advance-engineered-t-cell-immunotherapy-designs/
LOCATION:Biomedical Sciences\, Biomedical Sciences Building Red Hill Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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SUMMARY:Xu\, Y. (CSE) - Right Place\, Right Time: Accelerating Edge Computation on Modern Heterogeneous SoCs
DESCRIPTION:Modern edge computing increasingly relies on heterogeneous System-on-Chip (SoC) architectures. These chips tightly integrate general-purpose CPUs with various specialized accelerators\, including GPUs\, FPGAs\, and AI accelerators\, all under a shared memory architecture. Although these shared-memory SoCs enable more efficient communication and data sharing between different processing units\, they are notoriously difficult to program and tune due to architectural diversity across vendors and asymmetric compute capabilities within each SoC. \nThis dissertation introduces Redwood and BetterTogether\, two frameworks that rethink CPU-accelerator collaboration on heterogeneous SoCs. Redwood targets a class of algorithms termed traverse–compute\, that combine irregular tree traversals with dense leaf-level computation\, e.g.\, Nearest-Neighbor Search and Barnes–Hut algorithm. \nIt addresses the efficient mapping of these algorithms onto heterogeneous systems by exploiting the architectural strengths of CPUs\, GPUs\, and FPGAs. BetterTogether extends this methodology to a different class of edge workloads\, specifically multi-stage pipelines and neural networks commonly used in computer vision tasks. Furthermore\, it introduces interference-aware analysis and scheduling techniques tailored for mobile SoCs. Finally\, to broaden the scope of heterogeneous acceleration\, we evaluated emerging domain-specific accelerators. We provide a preliminary analysis of Tensor Processing Units and Tensor Cores within the context of modern programming abstractions. \nEvent Host: Yanwen Xu\, Ph.D. Candidate\, Computer Science and Engineering \nAdvisor: Tyler Sorensen \nZoom- https://ucsc.zoom.us/j/5354629158?pwd=0CVhbwLuXDMX5fAGZd63tcfNqDWp0t.1 \nPasscode- 114514
URL:https://events.ucsc.edu/event/xu-y-cse-right-place-right-time-accelerating-edge-computation-on-modern-heterogeneous-socs/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Ph.D. Presentations
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