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Stanford Data Science Initiative Spring 2017 Workshops

Event Details:

Friday, June 2, 2017

Location

Mackenzie Room, Huang Engineering Center
Stanford University
CA 94305
United States

Agenda

Speaker Biographies

Disruptive Technologies for Finance and Insurance

9:00 am Welcome and introduction, Steve Eglash, Executive Director of Strategic Research Initiatives, Computer Science

9:10 am Keynote: Fintech, Regulatory Arbitrage, and the Rise of Shadow Bank, Amit Seru, Professor of Finance, Graduate School of Business

Seru PDF

9:30 am Applied Machine Learning with Domain Knowledge, Stefano Ermon, Assistant Professor of Computer Science

Ermon PDF

9:50 am From Sensing to Visual Intelligence - Trends and Applications, Silvio Savarese, Associate Professor of Computer Science and Director of SAIL-Toyota Center for AI Research  

Savarese PDF

10:10 am Secure Confidential Transactions on the Blockchain, Dan Boneh, Professor of Computer Science and Electrical Engineering and Co-Director of Stanford Cyber Initiative

10:50 am Digital Health, Euan Ashley, Associate Professor of Medicine, Genetics, and Biomedical Data Science and Director of Stanford Data Science Initiative

Ashley PDF

11:10 am Panel Discussion: Industry Use Cases, Peter Gunder, Chief Business Development Officer at American Family Insurance David Pinski, Chief Strategist and Head of the Financial Innovation Laboratory at Hitachi Ahmad Wani, CEO and Co-Founder at One Concern

Smart Customer Interactions

1:40 pm Welcome and introduction, Steve Eglash, Executive Director of Strategic Research Initiatives, Computer Science

1:50 pm Interacting via Natural Language Dialog, Dan Jurafsky, Professor and Chair of Linguistics and Professor of Computer Science

Jurafsky PDF

2:10 pm Learning from Natural Language Interactions, Percy Liang, Assistant Professor of Computer Science and Lead Scientist at Semantic Machines

Liang PDF

3:00 pm People-focused Reinforcement Learning, Emma Brunskill, Assistant Professor of Computer Science

Brunskill PDF

3:20 pm Mining Massive and Diverse Datasets for Understanding and Forecasting Customer Needs and Preferences, Jure Leskovec, Associate Professor of Computer Science and Chief Scientist at Pinterest

Leskovec PDF

3:40 pm MacroBase: Prioritizing Attention in Fast Data, Peter Bailis, Assistant Professor of Computer Science

Bailis PDF

4:00 pm Panel Discussion: Industry Use Cases Jeff Hancock, Professor of Communication and Director of Center for Computational Social Science Frank Meerkamp, Managing Director for Artificial Intelligence at Accenture Mike Schulman, Engineering Director and Lead of Customer Engagement at Google

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