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X-ORIGINAL-URL:https://dbds.stanford.edu
X-WR-CALDESC:Events for Stanford - Department of Biomedical Data Science
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DTSTART;TZID=America/Los_Angeles:20250401T120000
DTEND;TZID=America/Los_Angeles:20250401T130000
DTSTAMP:20250328T163837Z
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UID:12793-1743508800-1743512400@dbds.stanford.edu
SUMMARY:QSU Research Methods Seminar: Robert Tibshirani\, Ph.D. 4/1
DESCRIPTION:QSU Research Methods Seminar\nTuesday\, April 1\, at 12:00 pm PST\njoin the seminar at 3180 Porter Dr. (combined Room B107 & B136)\n*Lunch will be provided*\nZoom Link: Meeting ID:  996 4643 5133\nPassword: 593858 \nRobert Tibshirani\, Ph.D.\nProfessor of Biomedical Data Science and of Statistics\nStanford University \nUnivariate-guided Sparse Regression\nIn this talk Dr. Tibshirani will introduce “UniLasso”\, a novel statistical method for sparse regression. This two-stage approach preserves the signs of the univariate coefficients and leverages their magnitude. Both of these properties are attractive for stability and interpretation of the model. Through comprehensive simulations and applications to real-world datasets\, we demonstrate that UniLasso outperforms Lasso in various settings\, particularly in terms of sparsity and model interpretability. We prove asymptotic support recovery and mean-squared error consistency under a set of conditions different from the well-known irrepresentability conditions for the Lasso. Extensions to generalized linear models (GLMs) and Cox regression are also discussed. A special case of lasso\, “uniReg” is an interesting competitor to good ol’ least squares regression (Legendre\, 1805).\nThis is joint work with Sourav Chatterjee and Trevor Hastie. \nWe welcome any suggestions or questions about the seminar series – please contact Cyra June Ente cyraente@stanford.edu\nWe look forward to seeing you!
URL:https://dbds.stanford.edu/event/qsu-research-methods-seminar-robert-tibshirani-ph-d-4-1/
LOCATION:CA
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2024/03/tibshirani_new.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250402T160000
DTEND;TZID=America/Los_Angeles:20250402T170000
DTSTAMP:20250326T193614Z
CREATED:20250326T193614Z
LAST-MODIFIED:20250326T193614Z
UID:12785-1743609600-1743613200@dbds.stanford.edu
SUMMARY:Jure Leskovec: From Data to Discovery: How Foundation Models Transform Biology 4/2
DESCRIPTION:Wednesday\, April 2\, 2025 4:00pm – 5:30pm PDT \nSimonyi Conference Center\, CoDa\, 389 Jane Stanford Way\, Stanford\, CA 94305 \nAbstract: Foundation models are revolutionizing biology by learning the underlying structure of complex biological data and transforming how we analyze\, interpret\, and generate scientific knowledge. In this talk\, we explore how these models accelerate discovery by integrating vast datasets\, uncovering biological organization\, and guiding hypothesis-driven research. We begin with models that learn universal representations of cells across tissues and species. Without explicit supervision\, these models capture fundamental biological organization\, allowing researchers to analyze\, compare\, and annotate cells with unprecedented precision. This ability to model biological diversity naturally leads to the next challenge: how to generate and test new biological hypotheses. Large language models\, trained on vast scientific literature\, can play a crucial role in this process. \nFor more information: https://datascience.stanford.edu/events/scientific-discovery-age-data-ai/jure-leskovec-stanford
URL:https://dbds.stanford.edu/event/jure-leskovec-from-data-to-discovery-how-foundation-models-transform-biology-4-2/
LOCATION:CA
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2025/03/57a37b0d-d638-ddd8-f80f-d42d220d77af.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250403T090000
DTEND;TZID=America/Los_Angeles:20250403T170000
DTSTAMP:20250305T222759Z
CREATED:20250305T222759Z
LAST-MODIFIED:20250305T222759Z
UID:12693-1743670800-1743699600@dbds.stanford.edu
SUMMARY:Experimental Design: AI for Science 4/3-4/4
DESCRIPTION:Only a Month Away – Don’t Miss Out! Registration Filling Fast! \nWe are excited to invite you to the workshop “Experimental Design: AI for Science” happening at Stanford University on 3rd and 4th April 2025.  The workshop focuses on theory and methodology of AI based experimental design and its application to addressing scientific problems. We have an exciting lineup of speakers including David Baker\, Jennifer Chayes\, Ashia Wilson\, Stefano Ermon\, Jennifer Listgarten\, Aaron Streets\, Andreas Krause\, Brian Trippe\, Yisong Yue\, Jure Lesokvec and Kyunghyun Cho. \nWe also invite students and postdocs to submit abstracts about their research for consideration to present at the workshop. The topics can be broadly related to experimental design and AI for science\, and are outlined in Call For Abstracts (deadline Mar. 15). \nWebsite: edai4science.github.io\nRegistration for the workshop.\nSubmit abstracts before Mar. 15.
URL:https://dbds.stanford.edu/event/experimental-design-ai-for-science-4-3-4-4/
LOCATION:Mackenzie Room\, Jen-Hsun Huang Engineering Center
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2025/03/flyer_exp_design.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250404T133000
DTEND;TZID=America/Los_Angeles:20250404T143000
DTSTAMP:20250325T165112Z
CREATED:20250325T165112Z
LAST-MODIFIED:20250325T165112Z
UID:12761-1743773400-1743777000@dbds.stanford.edu
SUMMARY:Innovators in Computational Biology & AI
DESCRIPTION:We are excited to introduce a new seminar series – “Innovators in Computational Biology & AI\,” sponsored by the Warren Alpert CBAI Scholars Program. Our inaugural speaker\, Dr. Sarah McGough from Genentech\, will share her experience transitioning from graduate school to industry\, offering valuable insights into biotech\, work culture\, and career opportunities. Don’t miss her tips on navigating the job application process and career prospects. Please RSVP to help us plan for the event. \nSpeaker: Dr. Sarah McGough (Genentech) \nDate: Friday. April 4th\, 1:30-2:30PM \nLocation: Edwards Building\, R358 \nRefreshments will be provided  \nIf you have any questions or concerns\, feel free to reach out to xsitu@stanford.edu.
URL:https://dbds.stanford.edu/event/innovators-in-computational-biology-ai/
LOCATION:Edwards\, R358
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2025/03/Unknown-15.jpg
ORGANIZER;CN="Xingci Situ":MAILTO:xsitu@stanford.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250411T120000
DTEND;TZID=America/Los_Angeles:20250411T133000
DTSTAMP:20250326T193205Z
CREATED:20250326T193205Z
LAST-MODIFIED:20250326T193205Z
UID:12781-1744372800-1744378200@dbds.stanford.edu
SUMMARY:For Graduate Students: Resource Fair! 4/11
DESCRIPTION:Graduate Spring Resource Fair – Grow Your Grad Garden!\nFriday\, April 11\, 2025\n12:00pm – 1:30pm PDT\nLocation: Alumni Lawn\, School of Medicine – Map Link \nYou’re invited! Check out Stanford’s third annual Graduate Spring Resource Fair – Grow Your Grad Garden! Bring your friends and grow your “grad garden” by getting to know over 40 different campus resources available to graduate students\, including resources for mental health and well-being\, learning and academic support systems\, and diverse grad life communities. We will be offering free pizza lunch\, speed friending\, and lots of swag!
URL:https://dbds.stanford.edu/event/for-graduate-students-resource-fair-4-11/
LOCATION:Alumni Lawn\, School of Medicine
ATTACH;FMTTYPE=image/jpeg:https://dbds.stanford.edu/wp-content/uploads/2025/03/cap-1266204_640.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250414T160000
DTEND;TZID=America/Los_Angeles:20250414T170000
DTSTAMP:20250410T203043Z
CREATED:20250410T203043Z
LAST-MODIFIED:20250410T203043Z
UID:12875-1744646400-1744650000@dbds.stanford.edu
SUMMARY:Welcome to the Edwards Building\, DBDS! 4/14
DESCRIPTION:The Department of Pathology\, chaired by Dr. Thomas Montine\, will host the “Welcome Event” on April 14  for all members of DBDS.
URL:https://dbds.stanford.edu/event/welcome-to-the-edwards-building-dbds-4-14/
LOCATION:CA
ATTACH;FMTTYPE=image/png:https://dbds.stanford.edu/wp-content/uploads/2025/04/Unknown-17.png
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250418T110000
DTEND;TZID=America/Los_Angeles:20250418T120000
DTSTAMP:20250407T173803Z
CREATED:20250407T173803Z
LAST-MODIFIED:20250407T173803Z
UID:12847-1744974000-1744977600@dbds.stanford.edu
SUMMARY:Decoding Cancer Heterogeneity Through Multi-Modal Biomedical Data With Yuanning "Eric" Zheng\, PhD
DESCRIPTION:Stanford Center for Cancer Systems Biology \n2025 Seminar Series \nJoin us at 11:00am on Friday\, April 18\, 2025\, in the Clark Center (Room S360) or remotely at this Zoom link as Dr. Zheng discusses his research on addressing the challenges of cancer heterogeneity by developing bioinformatics tools and AI models to identify clinically relevant disease phenotypes. \n\nPlease see flyer for more information about the talk.  We encourage you to attend in-person to best engage with the speaker and enjoy some refreshments. \n 
URL:https://dbds.stanford.edu/event/decoding-cancer-heterogeneity-through-multi-modal-biomedical-data-with-yuanning-eric-zheng-phd/
LOCATION:Clark Center\, S360\, 3rd floor
ATTACH;FMTTYPE=image/png:https://dbds.stanford.edu/wp-content/uploads/2025/04/Unknown-18.png
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