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.

Contact program manager Katie M. Kanagawa with questions. Suggestions and self-nominations for seminar speakers and topics are welcome.

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

Autumn 2020 workshops will be held remotely via Zoom. Contact Katie Kanagawa (kkanagaw@stanford.edu) for Zoom dial-in details.

Autumn 2020 Calendar

DATE INVESTIGATOR PRESENTATION TITLE
9/17

Bin Yu (Professor of Statistics, UC Berkeley)

Contact Katie Kanagawa (kkanagaw@stanford.edu) for Zoom dial in details for this seminar/series. 

Curating a COVID-19 data repository and forecasting county-level death counts in the United States

Abstract and Suggested Readings (PDF)

9/24 Philip Stark (Professor, Associate Dean of Mathematical and Physical Sciences at UC Berkeley)

Evidence-Based Elections

Abstract and Suggested Readings (PDF)

Zoom Recording here

10/1

Biomedical Data Science Seminar

Brad Efron (Max H. Stein Professor and Professor of Statistics and of Biomedical Data Science at
Stanford University) 

Prediction, Estimation, and Attribution

Abstract and Short Bio (PDF)

Suggested Reading (PDF)

Zoom Recording here

10/8 Eugene Katsevich (Assistant Professor of Statistics at Wharton University of Pennsylvania)

Statistical analysis of single cell CRISPR screens

Abstract and Suggested Readings (PDF)

Zoom recording here

10/15 Marzyeh Ghassemi (Assistant Professor at the University of Toronto in Computer Science and Medicine)

Don’t Expl-AI-n Yourself: Exploring "Healthy" Models in Machine Learning for Health

Abstract and Suggested Readings (PDF)

Zoom recording here

10/22

Biomedical Data Science Seminar

Francesca Dominici (Clarence James Gamble Professor of Biostatistics, Population and Data Science
Harvard T.H. Chan School of Public Health) 

Air Pollution, COVID19, and Race: Data Science Challenges and Opportunities

Abstract and Suggested Readings (PDF)

Zoom recording here

10/29 Dr. Danielle Belgrave (Principal Research Manager, Microsoft Research, Cambridge (UK))

Machine learning for personalised healthcare: a human-centred approach

Abstract and Suggested Readings (PDF)

11/5 Katherine Heller (AI Researcher at Google Medical Brain, and Assistant Professor in Statistical Science at Duke University)

Machine Learning in Real-world Healthcare Settings: How Far We've Come and Where We Are Going

Abstract and Suggested Readings (PDF)

Zoom recording here

11/12 Alexandra Chouldechova (Estella Loomis McCandless Assistant Professor of Statistics and Public Policy, Carnegie Mellon University)

Algorithm-assisted decision making in child welfare

Abstract and Suggested Readings (PDF)

Zoom recording here

11/19 Finale Doshi-Velez (Associate Professor of Computer Science, Harvard University)

Interpretability and Human Validation of Machine Learning

Abstract and Suggested Reading (PDF)

Zoom recording here