Chiara Sabatti, Faculty Director of our longstanding Workshop in Biostatistics Series, attends the 2018 Symposium. 

Workshops in Biostatistics (BIODS/STATS 260)

Open to enrolled students and all members of the Stanford community.

Receiving Credit for Attending a Workshop Seminar

Students who wish to receive two credits must write an essay summarizing one of the seminars and discussing it critically in the context of the background readings.

Suggestions and self-nominations for seminar speakers and topics are welcome.

The Workshop is held from 2:30-3:50pm.

Spring 2021 workshops will be held remotely via Zoom. Contact Katie Kanagawa (kkanagaw@stanford.edu) for Zoom dial-in details.

Spring 2021 Calendar

DATE INVESTIGATOR PRESENTATION TITLE
4/1

Hilary Finucane, Co-Director of the Program in Medical and Population Genetics, Broad Institute

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Leveraging local and polygenic signal for GWAS gene prioritization

Abstract and Suggested Readings (PDF)

4/8

Julia Salzman, Associate Professor of Biochemistry and of Biomedical Data Science, Stanford

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RNA splicing at single cell resolution

Abstract and Suggested Readings (PDF)

4/15

Biomedical Data Science Seminar

Hongzhe Li (Lee), Perelman Professor of Biostatistics, Epidemiology and Informatics, University of Pennsylvania School of Medicine

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Interrogating the Gut Microbiome: Estimation of Bacterial  Growth Rates  and  Prediction of Biosynthetic Gene Clusters

Abstract and Suggested Readings (PDF)

4/22

Katherine S. Pollard, Professor, Department of Epidemiology & Biostatistics, Institute for Human Genetics, and Institute for Computational Health Sciences, UC San Francisco

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CellWalker: a network model to resolve gene regulatory elements in single cells

Abstract and Suggested Readings (PDF)

4/29

Vineet Bafna, Professor of Computer Science, UC San Diego Health Sciences

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Extrachromosomal and other mechanisms of oncogene amplification in cancer

Abstract & Suggested Readings (PDF)

5/6

Biomedical Data Science Seminar 

Rumi Chunara, Associate Professor of Engineering (Computer Science) and Global Public Health (Biostatistics/Epidemiology), New York University

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Machine Learning for Health and Equity & Health and Equity for Machine Learning

Abstract & Suggested Readings (PDF)

5/13

Peter Szolovits, Professor of Computer Science and Engineering, Massachusetts Institute of Technology

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How can computers provide clinical decision support?

Abstract & Suggested Readings (PDF)

5/20

Biomedical Data Science Seminar

Susan Murphy, Professor of Statistics and of Computer Science, and Radcliffe Alumnae Professor at the Radcliffe Institute, Harvard University

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We used RL  but…. Did it work?!

Abstract (PDF)

5/27

Jian Ma, Associate Professor, Computational Biology, School of Computer Science, Carnegie Mellon University

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Probing the Nuclear Organization with Machine Learning

Abstract & Suggested Readings (PDF)

6/3 Molly Przeworski, Professor of Biological Sciences and of Systems Biology, Columbia University

What drives the dependence of human germline mutation on sex, age and time?

Abstract & Suggested Reading (PDF)