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Fall 2019 SDSI / AI for Health Annual Meeting

Event Details:

Thursday, November 21, 2019 - Friday, November 22, 2019


Paul Brest Hall
555 Salvatierra Walk
Stanford, CA 94305
United States

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

Advances In Data Sciences and Applications

 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
  View Video
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
  View Video
9:50 am 

Advancements in Graph Neural Networks

Jure Leskovec

Associate Professor of Computer ScienceCo-Director of Stanford Data Science Initiative
  View Video
10:10 am 

Privacy from your Pocket

John Duchi

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

Weak Supervision in Medicine: Optimism anda Pitfall

Christopher Re

Associate Professor of Computer Science
11:20 am 

Deep Reinforcement Learning

Tengyu Ma

Assistant Professor of Computer Science and Statistics
  View Video
11:40 am 

Analyzing Video at Scale

Maneesh Agrawala

Forest Baskett Professor of Computer Science 
  View Video
12:00 pm 

SDSI Collaboration from Corporate and VisitingScholar Point of View

Keita Yokoyama and Yusuke Fukazawa

DOCOMO Visiting Scholar & Industry Member
View Video
12:20 pm Lunch
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 MedicineCo-Director of Stanford Data Science Initiative

  View Video
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
  View Video
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)
  View Video
11:00 am Break
11:20 am 

A Framework for Personalizing and Testing Medical Decisions

Mohsen Bayati

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

Machine Learning for Small Molecule Lead Optimization

Bowen Liu

PhD Candidate, Chemistry
  View Video
12:00 pm 

Ambient Intelligence in AI-Assisted Hospitals

Serena Yeung

Assistant Professor of Biomedical Data Science, Computer Science (Courtesy) and ofElectrical 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
View Video
2:30 pm 

Using Data to Educate the Learning HealthSystem

Nigam Shah

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

Pharmacovigilance Tools for LeveragingSocial Media

Russ Altman

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

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