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 in MSOB x303

Spring 2022 Calendar

DATE INVESTIGATOR PRESENTATION TITLE

3/31

 

Matthew Jones, Bioinformatics PhD candidate at UC San Francisco and UC Berkeley, advised by Jonathan Weissman and Nir Yosef

Algorithmic tools for single-cell lineage tracing to illuminate the phylodynamics, plasticity, and transcriptional paths of tumor evolution

Abstract & Suggested Readings (PDF)

4/7

Virtual Access Only 

Dianbo Liu, PhD, Postdoc fellow and leader of humanitarian AI team, Prof. Yoshua Bengio Group, Mila -Quebec AI institute, Canada, and Research affiliate, The Broad Institute of MIT and Harvard, USA 

 

Improve accessibility and fairness in healthcare using generalizable artificial intelligence

Abstract & Suggested Readings (PDF)

4/14

 

 

Jennifer Listgarten, PhD, Professor, UC Berkeley Department of Electrical Engineering and Computer Science and Center for Computational Biology

Machine Learning-Based Protein Engineering

Abstract (PDF)

4/21

 

DBDS Seminar Series

Collin M. Stultz
, MD, PhD, Nina T. and Robert H. Rubin Professor in Medical Engineering and Science, Professor of Electrical Engineering and Computer Sciecne, Harvard-MIT, Division of Health Science and Technology, MIT, Division of Cardiovascular Medicine, Massachusetts General Hospital

Artificial Intelligence in Clinical Medicine: Challenges, Obstables, and Opportunities

Abstract & Suggested Readings(PDF)

4/28

 

Serena Wang, PhD student in Computer Science, UC Berkeley, advised by Rediet Abebe and Michael I. Jordan

Out of Scope, Out of Mind: Expanding Frontiers for Fair ML in Social Decision Making

Abstract & Suggested Readings(PDF)

5/5

 

Aaron Newman, PhD, Assistant Professor of Biomedical Data Science, Stanford 

Decoding stem cell hierarchies and cellular ecosystems in cancer

Abstract & Suggested Readings(PDF)

5/12

 

James Zou, PhD, Assitant Professor of Biomedical Data Science and, by courtesy, of Comupter Science and Electrical Engineering, Stanford 

AI for clinical trials and clinical trials for AI

Abstract & Suggested Readings(PDF)

5/19

 

Steven E. Brenner, PhD, Professor at the Department of Plant and Microbial Biology, University of California Berkeley

Prediction potential and pitfalls in pervasive population personal genomics: Interpreting newborn genomes with Notes on privacy timebombs in functional genomics data.

Abstract & Suggested Readings(PDF)

5/26

 

Elizabeth Stuart, PhDAssociate Dean for Education, and Professor of Mental Health, of Biostatistics, and of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health

Study designs to estimate policy effects using large-scale data: Applications to COVID-19 and opioid policies.

Abstract & Suggested Readings(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.