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.

Because the Biostatistics Workshop doubles as a class, the current university response to the pandemic requires us to restrict in-person attendance to Stanford students, faculty and staff. We hope to be able to revise these restrictions soon and welcome back all our biostatistics workshop community.

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

The Workshop is held from 1:30-3:00pm.

Autumn 2021 workshops will be held in person in MSOB X303. Open event abstract PDF for dial-in option, when available. 

Autumn 2021 Calendar


Chiara Sabatti, Professor of Biomedical Data Science and of Statistics, Stanford

Genetic variants across human populations—how similarities and differences play a role in our understanding of the genetic basis of traits

Abstract & Suggested Readings (PDF)

9/30 Emiley Eloe-Fadrosh, Metagenome Program Head & Environmental Genomics Group Lead, DOE Joint Genome Institute, Lawrence Berkeley National Lab

Big data from tiny microbes across Earth’s ecosystems

Abstract & Suggested Readings (PDF)

10/7 Pang Wei Koh, PhD Student, Computer Science, Stanford

Modeling the spread of COVID-19 with large-scale dynamic mobility networks

Abstract & Suggested Readings (PDF)

10/14 Stefan Wager, Associate Professor of Operations, Information and Technology, and (by courtesy) of Statistics, Stanford

Noise-Induced Randomization in Regression Discontinuity Designs

Abstract & Suggested Reading (PDF)

10/21 Moisés Expósito Alonso, Staff Associate, Departments of Plant Biology and Global Ecology, Carnegie Institution for Science; Assistant Professor (by courtesy) of Biology, Department of Biology, Stanford University

The genomics of climate adaptation (and extinction)

Abstract & Suggested Readings (PDF)

10/28 Serena Yeung, Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering, Stanford

Using Computer Vision to Augment Clinician Capabilities Across the Spectrum of Healthcare Delivery

Abstract & Suggested Readings (PDF)

11/4 Mallory Harris, PhD Student in Biology and 2019 Knight-Hennessy Scholar, Stanford

Scientific Integrity & Academic Accountability

Abstract & Suggested Readings (PDF)

11/11 Jan Schellenberger, Senior Staff Software Engineer; Nan Zhang, Vice President of Biostatistics and Data Management; and Jing Zhang, Associate Biostatistical Director, GRAIL, LLC

A Targeted Methylation-based Multi-Cancer Early Detection Test and the Modeled Clinical Utility with a Novel Microsimulation Method

Abstract & Suggested Reading (PDF)

11/18 John Witte, Vice Chair and Professor in the Department of Epidemiology & Population Health, and Professor of Biomedical Data Science and, by courtesy, of Genetics

Polygenic Risk Scores: Methods and Models

Abstract & Suggested Readings (PDF)


Biomedical Data Science Seminar

Special Location: LKSC 130

Donald Redelmeier, Professor of Medicine at the University of Toronto; Canada Research Chair in Medical Decision Sciences; Director of Clinical Epidemiology at Sunnybrook Health Sciences Centre; Senior Scientist at the Institute for Clinical Evaluative Studies in Ontario; Staff physician in the Division of General Internal Medicine at Sunnybrook Hospital

COVID Vaccine Hesitancy and Risk of a Traffic Crash

Abstract (PDF). Suggested reading (PDF). 

DBDS on Diversity

We are committed to our historical and ongoing mission to use biomedical data science to improve human health. A cornerstone of this mission is diversity, reflected in embracing a breadth of complementary research interests, research styles, and a diverse and inclusive community. DBDS recognizes that we have significant work to do in shaping our future as we work towards achieving justice, equity, diversity and inclusion throughout our work and operations, our research and activities, and our professional relationships and partnerships.

Stanford's Land Acknowledgment Statement

Stanford sits on the ancestral land of the Muwekma Ohlone Tribe. This land was and continues to be of great importance to the Ohlone people. Consistent with our values of community and inclusion, we have a responsibility to acknowledge, honor, and make visible the University’s relationship to Native peoples.

This acknowledgment has been developed in collaboration with the Muwekma Ohlone Tribe.