NextGen: Data Science Day

Saturday, October 27, 2018, Sterling Chemistry Laboratory, 225 Prospect St, New Haven, CT 06511, Yale University.

Schedule of Events




8:30--9:15AMSCL 1st FloorCheck-in and coffee
9:15--9:30AMSCL 110Opening 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)
9:30--10:30AMSCL 110Keynote #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

Chair: Xiaofei (Susan) Wang (Yale University)
10:30--10:50AMSCL 2nd FloorCoffee break
10:50--12:20PMParallel panel sessions
SCL 160Session 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)
12:20--2PMSCL 2nd FloorLunch
2--3:30PMParallel panel sessions

SCL 160Session 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)
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)
3:30--3:50PMSCL 2nd FloorCoffee break
3:50--4:50PMSCL 110Keynote #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--7:00PMSCL 2nd FloorPoster session (sponsored by MassMutual)



Conduct Policy

Data Science Day promotes the free expression and exchange of ideas. All participants agree to abide by the American Statistical Association’s conduct policy listed here.