eUSR 2020 - Program

Friday, November 6th, 2020

11:30 a.m. – 12:00 p.m. (ET)
Virtual Video Presentation Session

Presenters will be standing by from 11:30 am - 12:00 pm (ET) to answer your questions. If you would like to post a comment, simply log in with one of the social media services listed or post as a guest by signing up with Disqus (first name and e-mail required).

View Posters

12:00 p.m. – 12:10 p.m. (ET)
Opening Remarks

By Mine Dogucu, Assistant Professor of Teaching, University of California Irvine

View Slides

12:10 p.m. – 2:00 p.m. (ET)
Plenary Talks by USPROC Award Winners

12:10 - 12:20 pm: Elizabeth Guo, Harvard University

12:21 - 12:31 pm: Jonathan Garber, David Rice, and Keegan Line, Western Washington University

12:32 - 12:42 pm: Kevin Ros, Henrik Olsson, and Jingchen (Monika) Hu, Vassar College

12:43 - 12:54 pm: Jeremy Bruton, Lawrence University

12:55 - 1:05 pm: Mary Jane Uzzi and Lu Li, Grinnell College

1:06 - 1:16 pm: Heesu Kim, Harshini Raman, Talia Benheim, Sophie Barowsky, Wellesley College

1:17 - 1:27 pm: Samantha Kilcoyne, Huijun Huang, Maya Cords, Williams College

1:28 - 1:38 pm: Giulia Bronzi, Hannah Kim, Willa Sun, and Nikki Tong, Wellesley College

1:39 - 1:49 pm: Sam Olson, Olek Wojcik, and Paul Nguyen, Reed College

1:50 - 2:00 pm: Clara Li and Rose Porta, Smith College

2:00 p.m. – 3:00 p.m. (ET)
Keynote Address
Data Science as a Team Sport

Abstract: Data Science careers are in high demand, with many job opportunities and attractive salaries. As a relatively new career, it is ambiguously defined, and the job description of a data scientist can vary greatly from company to company. For those reasons, Data Science has attracted both new grads and career changers from all sorts of different fields. For Statisticians, Data Science is an exciting opportunity to apply your hard-earned skills to a variety of interesting and challenging problems. Having a solid Statistics background will give you a head start in that direction. However, Data Science is much more than pure Statistics knowledge. Being able to recognize and take advantage of a team with a diverse set of experiences will provide you with a unique opportunity to grow individually while benefiting your entire team. In this talk, I will walk you through my career journey, the different roles a Data Scientist can take, useful skills for a successful career and lessons learned.

Gabriela de Quieroz (Senior Engineering & Data Science Manager, IBM)

Student Moderators: Declan Cassidy and Emily Potts, Vassar College

3:00 p.m. – 3:45 p.m. (ET)
Graduate School Information Session

Olivia Bernstein (Ph.D. Candidate, University of California Irvine)

Kelsey Grinde (Assistant Professor, Macalester College)

Letisha Smith (Data Scientist, Teachers Pay Teachers)

Student Moderators: Ethan Ashby and Amber Lee, Pomona College

3:45 p.m. – 4:30 p.m. (ET)
Panel Discussion About Careers in Industry and Government

Jennifer Halbleib (Data Scientist, MassMutual)

Catherine Jiang (Data Scientist, DoorDash)

Jenny Thompson, (Methodology Director, US Census)

Student Moderators: Eric Tay and Martha Aboagye, Duke University

4:30 p.m. – 4:40 p.m. (ET)
Closing Remarks