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.

Winter 2021 workshops will be held remotely via Zoom. Contact Katie Kanagawa ( for Zoom dial-in details.

Winter 2021 Calendar


Kristin Swanson, Professor of Neurosurgery, Mayo Clinic

Access zoom recording.

Sex, Drugs and Radiomics of Brain Cancer

Abstract and Suggested Readings (PDF)


Ryan Tibshirani, Associate Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University

Access Zoom recording

An Ecosystem for Tracking and Forecasting the Pandemic

Abstract and Suggested Readings (PDF)


Dr. Judy W Gichoya, Assistant Professor of Interventional Radiology And Informatics, Emory University

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Operationalizing Fairness in Medical Algorithms: A grand challenge

Abstract and Suggested Readings (PDF)


Biomedical Data Science Seminar

Edward H. (Ted) Shortliffe MD, PhD, Chair Emeritus and Adjunct Professor, Department of Biomedical Informatics, Columbia University; President and CEO Emeritus, American Medical Informatics Association (AMIA); Senior Executive Consultant, IBM Watson Health; Former Professor of Medicine and Computer Science, Stanford University (1979-2000); and Founding Director, Biomedical Informatics Training Program @ Stanford

Access Zoom recording. Access presentation slides (PDF). 

Biomedical AI: Its Roots, Evolution, and Early Days at Stanford

Abstract and Suggested Readings (PDF)


Benjamin Langmead, Associate Professor, Department of Computer Science, Johns Hopkins University

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Advances in pan-genomics for addressing reference bias

Abstract and Suggested Readings (PDF)

Reading 1 (PDF)


Xihong Lin, Professor of Biostatistics, Harvard T.H. Chan School of Public Health

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Learning from COVID-19 Data on Transmission, Health Outcomes, Interventions and Vaccination

Abstract and Suggested Readings (PDF)



Richard Bonneau, Professor of Biology and Computer Science, and Director, Center for Genomics and Systems Biology, New York University

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Inference of biological networks with biophysically motivated methods

Abstract and Suggested Readings (PDF)

3/4 Peter Kharchenko, Gilbert S. Omenn Associate Professor of Biomedical Informatics, Harvard University

Comparative analysis of disease-oriented single-cell transcriptional collections

Abstract and Suggested Readings (PDF)

3/11 Stephanie Hicks, Assistant Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health

Scalable statistical methods and software for single-cell data science


Biomedical Data Science Seminar

Kathryn Roeder, UPMC Professor of Statistics and Life Sciences in the Departments of Statistics and Data Science and Computational Biology, Carnegie Mellon University

Statistical challenges in the analysis of single-cell RNA-seq from brain cells

Abstract and Suggested Readings (PDF)