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 |
| 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 |
| 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 |