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DTSTART;TZID=America/Los_Angeles:20251030T114000
DTEND;TZID=America/Los_Angeles:20251030T131500
DTSTAMP:20251028T222750Z
CREATED:20251028T222750Z
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SUMMARY:BME 280B Seminar: Preconfigured neuronal firing sequences in human brain organoids
DESCRIPTION:Presenter: Tjitse (TJ) van der Molen\, Ph.D. (Postdoc\, Sharf Lab\, UC Santa Cruz and PhD Kosik Lab\, UC Santa Barbara) \nDescription: Neuronal firing sequences are thought to be the building blocks of information and broadcasting within the brain. Yet\, it remains unclear when these sequences emerge during neurodevelopment. Here we demonstrate that structured firing sequences appear in spontaneous activity of human and murine brain organoids\, both unguided and forebrain identity directed\, as well as ex vivo neonatal murine cortical slices. We observed temporally rigid and flexible firing patterns in human and murine brain organoids and early postnatal murine somatosensory cortex\, but not in dissociated primary cortical cultures. These results suggest that temporal sequences do not arise in an experience-dependent manner\, but are rather constrained by a preconfigured architecture established during neurodevelopment. By demonstrating the developmental recapitulation of neural firing patterns\, these findings highlight the potential of brain organoids as a model for neuronal circuit assembly. \nBio: Tjitse van der Molen studies spontaneous and evoked neural circuit activity in human and mouse stem cell derived brain organoids using dense multi electrode arrays. His main goal is to gain a better understanding of how healthy neural circuits process information and how possible malfunctions in neural circuit activity may result in disease\, in order to develop appropriate treatments. Tjitse recently completed his PhD in the Kosik lab at UC Santa Barbara and is now continuing his research as a postdoc in the Sharf lab at UC Santa Cruz. \nIn this talk\, Tjitse will present his latest manuscript that is currently in press with Nature Neuroscience\, focused on spontaneously occurring repeated sequential firing patterns that are present in the intrinsic activity of both brain organoids and neonatal mouse brain slices but not in 2D primary cultures. Similar sequential firing patterns have recently been shown to be important for information encoding and learning in the human cortex. The presence of these sequential firing patterns in the spontaneous activity of brain organoids that have never received external stimuli supports the notion that they develop in an experience-independent manner. \nHosted by: Professor Josh Stuart\, BME Department \nZoom Link: https://ucsc.zoom.us/j/99970819390?pwd=8sl5pd5TTBA5f6nqyCzo5mFpaqcEJG.1 \nFull Schedule: https://docs.google.com/document/d/1xD09vITwd_Pj9Ge6hHEuBFa5zBUYu2O-bjpSibt7VHE/edit?tab=t.0 \nRoom: PSB-240
URL:https://live-events-ucsc.pantheonsite.io/event/bme-280b-seminar-preconfigured-neuronal-firing-sequences-in-human-brain-organoids/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20251024T140000
DTEND;TZID=America/Los_Angeles:20251024T150000
DTSTAMP:20251009T181205Z
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SUMMARY:Science & Justice Training Program Informational Meeting
DESCRIPTION:Join the Science & Justice Research Center on Friday\, October 24th at 2PM on Zoom for an Informational Meeting on our internationally recognized interdisciplinary Graduate Training and Certificate Program. \nRegister at: https://ucsc.zoom.us/meeting/register/u6h-cJvDQBiscaNIJpzVUw. \nOur Science & Justice Training Program (SJTP) is a globally unique initiative that trains doctoral students to work across the disciplinary boundaries of the natural and social sciences\, engineering\, humanities and the arts. Through the SJTP we at UC Santa Cruz currently teach new generations of PhD students the skills of interdisciplinary collaboration\, ethical deliberation\, and public communication. Students in the program design collaborative research projects oriented around questions of science and justice. These research projects not only contribute to positive outcomes in the wider world\, they also become the templates for new forms of problem-based and collaborative inquiry within and beyond the university. \nAs SJTP students graduate they take the skills and experience they gained in the training program into the next stage of their career in universities\, industry\, non-profits\, and government. \nOpportunities include graduate Certificate Program\, experience organizing and hosting colloquia series about the research projects\, mentorship\, potential for additional research funding and training in conducting interdisciplinary research at the intersections of science and society. \nWINTER 2026 / WINTER 2027 COURSE SERIES:\nScience & Justice: Experiments in Collaboration\, taught by Associate Professor of Critical Race Science and Technology Studies Kriti Sharma is scheduled for Tuesday’s 1:00-4:00 pm. Science and Justice Research Seminar will be offered in Winter 2027. Enrollment in the courses is required for participating in the Training Program. Attending the informational meeting is strongly encouraged\, but not required. \nStudents from all disciplines are encouraged to attend. Prior graduate fellows have come from every campus Division and have represented 24 departments. \nPast collaborative research projects have included: \n\nPhysicists working with small scale farmers to develop solar greenhouses scaled to local farming needs.\nColloquia about the social and political consequences of scientific uncertainties surrounding topics such as climate change research\, food studies\, genomics and identity.\nExamining how art can empower justice movements.\nWorking with local publics to improve African fishery science.\n\nFor more information on the Science & Justice Training Program\, visit: https://scijust.ucsc.edu/about-sjrc/sjtp/.
URL:https://live-events-ucsc.pantheonsite.io/event/science-justice-training-program-informational-meeting/
CATEGORIES:Lectures & Presentations,Meetings & Conferences
LOCATION:Register at: https://ucsc.zoom.us/meeting/register/u6h-cJvDQBiscaNIJpzVUw
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DTSTART;TZID=America/Los_Angeles:20251023T114000
DTEND;TZID=America/Los_Angeles:20251023T131500
DTSTAMP:20251022T183840Z
CREATED:20251020T204418Z
LAST-MODIFIED:20251022T183840Z
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SUMMARY:BME 280B Seminar: Computational Models of Biological Systems
DESCRIPTION:Presenter: Chen-Hsiang Yeang\, Associate Research Fellow\, Institute of Statistical Science of Academia Sinica \nDescription: Computational models are roughly categorized into two types: describing the patterns of the phenomenon or data (description-driven models) and explaining the phenomenon or data with simpler\, comprehensible rules (explanation-driven models). When building a model\, the choice of the mixture ingredients of these two classes depends on the nature of the problem\, availability of the knowledge and data of the underlying system. In this talk\, I will give an overview of five models with varying combinations of descriptive and explanatory elements on different biological problems. First\, I will introduce a joint model to capture irreversible and reversible drug resistance mechanisms of cancers and a dynamic treatment strategy to tackle drug resistance. Second\, I will introduce a backward deconvolution algorithm based on probabilistic graphical models to unravel the cell type heterogeneity of the RNASeq data. Third\, I will introduce a deep neural network model to integrate direct and indirect associations of genotypes and images with phenotypes. Fourth\, I will introduce an experimental and computational framework to predict protein stability and discover motifs at C-terminals. Fifth\, I will introduce three algorithms to demarcate independent holes of specified dimensions in large networks. These works illustrate how “model selection” should be tailored for specific biological problems. \nBio: Chen-Hsiang Yeang is currently an associate research fellow at the Institute of Statistical Science of Academia Sinica. His research interests focus on several areas in computational biology and data science: 1) cancer genomics\, 2) cancer treatment\, 3) molecular evolution\, 4) network topology\, and 5) machine learning. \nHosted by: Professor Josh Stuart\, BME Department \nRoom: PSB-240
URL:https://live-events-ucsc.pantheonsite.io/event/bme-280b-seminar-computational-models-of-biological-systems/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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DTSTART;TZID=America/Los_Angeles:20251021T120000
DTEND;TZID=America/Los_Angeles:20251021T130000
DTSTAMP:20251014T141340Z
CREATED:20251013T151834Z
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SUMMARY:CITRIS Aviation Prize Information Session
DESCRIPTION:Join us for this virtual info session on the 2025–26 CITRIS Aviation Prize\, an exciting multi-campus student competition inviting teams to design innovative solutions for the future of air mobility across the University of California. \nThe session will cover this year’s competition guidelines\, key dates and requirements\, and available resources. Attendees will also have the opportunity for Q&A with members of the CITRIS Aviation Leadership Committee\, composed of aviation research faculty from UC Berkeley\, UC Davis\, UC Merced\, and UC Santa Cruz. \nRegister here to attend. \nFor any questions\, contact aviationprize@citris-uc.org. \n  \nDate: Tuesday\, October 21 \nTime: 12:00 pm – 1:00 pm \nLocation: Zoom (register to attend).
URL:https://live-events-ucsc.pantheonsite.io/event/citris-aviation-prize-info/
CATEGORIES:Meetings & Conferences
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DTSTART;TZID=America/Los_Angeles:20251015T110000
DTEND;TZID=America/Los_Angeles:20251015T110000
DTSTAMP:20250924T212046Z
CREATED:20250924T212046Z
LAST-MODIFIED:20250924T212046Z
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SUMMARY:2025 Fall STEM Career & Internship Fair
DESCRIPTION:Here is a chance to meet tech recruiters in person! \nIf you are interested in pursuing a career in science\, technology\, engineering\, mathematics or research\, then take advantage of this opportunity to meet recruiters from companies looking to fill various positions (both technical and non-technical). Learn more about internships and full-time career opportunities. Undergraduate students\, graduate students\, and recent alumni are all welcome to attend! \nPLEASE NOTE: You are encouraged to check in at the student registration table in order to participate in the career fair. Bring your student ID. \nWant more support? \n\nVisit a peer coach during drop-in hours\nSchedule a career coaching appointment with a Career Engagement Specialist\nFor PhD students looking to pursue careers in industry\, explore Beyond the Professoriate\n	(Scroll over "Login to Platform" at the top navigation bar and click "Through your institution")\nGet career tips on demand from our Career Success YouTube video library\nStay in the loop by following Career Success on Instagram\n\nYou will receive registration and additional information in your email from Career Success via Handshake. Please make sure to check your junk/spam folder if you are not receiving any communication.\n  \nYou Belong Here: The programs and services described here are open to all\, consistent with state and federal law\, as well as the University of California’s nondiscrimination policies. Every initiative—whether a student service\, faculty program\, or community event—is designed to be accessible\, inclusive\, and respectful of all identities. \nTo learn more\, please visit UC Nondiscrimination Statement or Nondiscrimination Policy for UC Publications. \nQuestions? Send to csuccess@ucsc.edu or visit Career Success at Hahn 125 East Entrance\nNeed accessibility support? Let us know at slugtalent@ucsc.edu at least two weeks prior to the fair date.
URL:https://live-events-ucsc.pantheonsite.io/event/2025-fall-stem-career-internship-fair/
LOCATION:Stevenson Event Center\, Stevenson Service Road\, Santa Cruz\, CA\, 95064
CATEGORIES:Meetings & Conferences
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DTSTART;TZID=America/Los_Angeles:20251002T114000
DTEND;TZID=America/Los_Angeles:20251002T131500
DTSTAMP:20251001T230805Z
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SUMMARY:BME 280B Seminar: Computational Precision Health & Genomic Diversity
DESCRIPTION:Presenter: Dr. Alex Ioannidis\, BME Assistant Professor\, UCSC \nDescription: N/A \nBio: Alex Ioannidis graduated summa cum laude in Chemistry and Physics from Harvard and completed an M.Phil in Computational Biology in the Dept. of Applied Math & Theoretical Physics at Cambridge. He earned his Ph.D. in Computational & Mathematical Engineering at Stanford and M.S. in Mgt. Science & Engineering (Numerical Optimization concentration). Prior to this\, he worked on novel superconducting computing logic and quantum computing at Northrop Grumman (Advanced Technology Lab).\n\nAlex’s teachings has included machine learning algorithms and data science courses in the Institute for Computational & Mathematical Engineering (ICME) at Stanford\, AI in healthcare at Stanford Medical School\, and computational biology in the Dept. of Biomolecular Engineering (BME) at the University of California\, Santa Cruz. His research group focuses on computational techniques and deep learning methods for genomics & precision health with a particular focus on populations in Oceania and Latin America (spotlight article). \nHosted by: Professor Josh Stuart\, BME Department\n\nLocation: PSB-240
URL:https://live-events-ucsc.pantheonsite.io/event/bme-280b-seminar-computational-precision-health-genomic-diversity/
LOCATION:Physical Sciences Building\, Physical Sciences Building\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations
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