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DTSTART;TZID=America/Los_Angeles:20251001T120000
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DTSTAMP:20251001T224502Z
CREATED:20250923T070000Z
LAST-MODIFIED:20251001T224502Z
UID:10000218-1759320000-1759323600@live-events-ucsc.pantheonsite.io
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://live-events-ucsc.pantheonsite.io/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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251001T120000
DTEND;TZID=America/Los_Angeles:20251001T120000
DTSTAMP:20251003T195523Z
CREATED:20251003T195523Z
LAST-MODIFIED:20251003T195523Z
UID:10003137-1759320000-1759320000@live-events-ucsc.pantheonsite.io
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://live-events-ucsc.pantheonsite.io/event/engineering-teaching-community-faculty-2/
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:20250819T130000
DTEND;TZID=America/Los_Angeles:20250819T130000
DTSTAMP:20250925T231430Z
CREATED:20250813T070000Z
LAST-MODIFIED:20250925T231430Z
UID:10000102-1755608400-1755608400@live-events-ucsc.pantheonsite.io
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://live-events-ucsc.pantheonsite.io/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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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250807T103000
DTEND;TZID=America/Los_Angeles:20250807T103000
DTSTAMP:20250925T231625Z
CREATED:20250805T070000Z
LAST-MODIFIED:20250925T231625Z
UID:10000091-1754562600-1754562600@live-events-ucsc.pantheonsite.io
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://live-events-ucsc.pantheonsite.io/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:20250925T231448Z
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://live-events-ucsc.pantheonsite.io/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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