| 8:30--9:15AM | SCL 1st Floor | Check-in and coffee |
| 9:15--9:30AM | SCL 110 | Opening Remarks
Jessi Cisewski-Kehe, Chair of NESS-NextGen Committee (Yale University)
Alan Gerber, Dean of Social Science; Charles C. & Dorathea S. Dilley Professor of Political Science; Professor in the Institution for Social and Policy Studies, of Economics, and of Public Health (Yale University)
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| 9:30--10:30AM | SCL 110 | Keynote #1 (sponsored by Yale University)
Katherine Wallman
Former Chief Statistician of the United States (1992-2017)
Title: At the Intersection of Evidence and Public Policy: Official Statistics
Abstract
Chair: Xiaofei (Susan) Wang (Yale University)
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| 10:30--10:50AM | SCL 2nd Floor | Coffee break |
| 10:50--12:20PM | | Parallel panel sessions |
| SCL 160 | Session 1: Tips for finding a job in statistics/data science
Chair: Dooti Roy (Boehringer-Ingelheim)
Abidemi Adeniji (Restorbio, Inc)
Forrest Crawford (Yale University)
Yuchen Fama (Munich Re -- Hartford Steam Boiler)
Naitee Ting (Boehringer Ingelheim) |
| SCL 110 |
Session 2: Recent developments and future trends in machine learning/deep learning
Chair: Marco Alvarez (University of Rhode Island)
J. Elisenda Grigsby (Boston College)
Don Sheehy (University of Connecticut)
Mu Tian (Facebook)
Shujian Liu (Liberty Mutual)
Marynel Vazquez (Yale University)
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| 12:20--2PM | SCL 2nd Floor | Lunch |
| 2--3:30PM | | Parallel panel sessions
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| SCL 160 | Session 3: What I do as a data scientist
Chair: Gregory Vaughan (Bentley University)
Ved Deshpande (eBay)
Nathan Lally (Munich Re -- Hartford Steam Boiler)
Jiaju Yan (McKinsey)
Haimao Zhan (MassMutual)
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| SCL 110 |
Session 4: Modern statistical developments in big data
Chair: Jing Wu (University of Rhode Island)
Ray Liu (Takeda)
Xi Luo (Brown University)
DeDe Paul (AT&T Labs)
Haiying Wang (University of Connecticut)
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| 3:30--3:50PM | SCL 2nd Floor | Coffee break |
| 3:50--4:50PM | SCL 110 | Keynote #2
Professor Xiao-Li Meng
Harvard, Whipple V. N. Jones Professor of Statistics
Founding Editor-in-Chief of Harvard Data Science Review
Title: How Small Are Our Big Data:
Turning the 2016 Surprise into a 2020 Vision
Abstract | Slides
Chair: Shaun Bender (Boehringer-Ingelheim) |
| 4:50--7:00PM | SCL 2nd Floor | Poster session (sponsored by MassMutual) |
