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Stanford Data Science Initiative / AI for Health 2019 Annual Fall Meeting

Advances In Data Sciences and Applications

Paul Brest Hall, Stanford University
November 21-22, 2019
We are entering a new era of innovation in Data Science where actions can be responsibly taken from predictions, training data sets generated and used more efficiently, and complex knowledge graphs mined in real time. These advancements are providing even more value in new applications areas and domains. SDSI and AI for Health are co-hosting their 2019 Annual Fall Meeting exploring new methods in data science and demonstrating these technologies in customer understanding, finance, healthcare and other domains. Stanford’s talented researchers work at the forefront of data intensive methodologies with a strong interdisciplinary nature, encouraging the development of new approaches in fields that benefit both academia and industry.


Thursday, November 21

8:00 am      Breakfast and Registration
9:00 am      Welcome
9:10 am

Robust Reinforcement Learning

Emma Brunskill

Assistant Professor of Computer Science
9:30 am

Service Quality in the Gig Economy:
Empirical Evidence about Driver Behavior at Uber

Susan Athey

The Economics of Technology Professor, Stanford Graduate School of Business
9:50 am

Advancements in Graph Neural Networks

Jure Leskovec

Associate Professor of Computer Science
Co-Director of Stanford Data Science Initiative
10:10 am

Privacy from your Pocket

John Duchi

Assistant Professor of Statistics and Electrical Engineering
10:30 am      Break
11:00 am

Weak Supervision in Medicine: Optimism and
a Pitfall

Christopher Re

Associate Professor of Computer Science
11:20 am

Deep Reinforcement Learning

Tengyu Ma

Assistant Professor of Computer Science and Statistics
11:40 am

Analyzing Video at Scale

Maneesh Agrawala

Forest Baskett Professor of Computer Science 
12:00 pm

    Keita Yokoyama and Yusuke Fukazawa

     DOCOMO Visiting Scholar & Industry Member
12:20 pm


1:40 pm      Industry Panel
2:40 pm      Break
3:10 pm

Evaluating Seeding Strategies in Networks

Johan Ugander

Assistant Professor, Management Science & Engineering
3:30 pm

Computation and Organization

Michael Bernstein

Associate Professor of Computer Science
4:00 pm      Student Poster Lightening Talks
5:00 pm      Student Poster Session & Reception

Friday, November 22

9:00 am      Breakfast and Registration
9:50 am      Welcome
10:00 am

Digital and Data Tools for Precision Health

Euan Ashley

Professor of Medicine
Co-Director of Stanford Data Science Initiative
10:20 am

How to Get the Most out of your Data with Modern ML

James Zou

Assistant Professor of Biomedical Data Science and Computer Science (Courtesy) and Electrical Engineering (Courtesy)
Faculty Director of AI for Health Program
10:40 am

Leveraging Real World Data with Federated Learning and Making Clinical Predictions using EMR Data

Daniel Rubin

Professor of Biomedical Data Science,Radiology, Medicine (BMIR), Computer Science (Courtesy) and Ophthalmology (Courtesy)
11:00 am      Break
11:20 am

A Framework for Personalizing and Testing Medical Decisions

Mohsen Bayati

Associate Professor of Operations, Information and Technology
11:40 am

Machine Learning for Small Molecule Lead Optimization

Bowen Liu

PhD Candidate, Chemistry
12:00 pm

Ambient Intelligence in AI-Assisted Hospitals

Serena Yeung

Assistant Professor of Biomedical Data Science, Computer Science (Courtesy) and of
Electrical Engineering (Courtesy)
12:30 pm


     Open Mic Talks 1:00-2:00

2:10 pm

Real World Data for Clinical Trial Optimization

Ruishan Liu

PhD Candidate, Electrical Engineering
2:30 pm

Using Data to Educate the Learning Health

Nigam Shah

Associate Professor of Medicine (Biomedical Informatics)
3:00 pm

Pharmacovigilance Tools for Leveraging
Social Media

Russ Altman

Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Sci-
ence and Computer Science (courtesy)
3:30 pm      Thank You's!