FRIDAY, NOVEMBER 8th, 2024
11:00 a.m. – 12:00 p.m. (ET)
Virtual Video Presentation Session
Presenters will be standing by from 11:00 am - 12:00 pm (ET) to answer your questions. If you would like to post a comment, navigate to the presenter's recording on YouTube and leave a question.
12:00 p.m. – 12:10 p.m. (ET)
Opening Remarks
By Shaoyang Ning, Assistant Professor in the Department of Mathematics and Statistics at Swarthmore College
12:10 p.m. – 2:00 p.m. (ET)
Plenary Talks by USPROC Award Winners
12:10 - 12:20: Tayae Rogers and Caroline Jung, Wellesley College
Risk Factors for College Drop-Out
12:22 - 12:32: Yiyang Fan, University of North Carolina at Chapel Hill
Improving the within-Node Estimation of Survival Trees while Retaining Interpretability
12:34 - 12:44: Matheus Kunzler Maldaner, Justin Witter, Patrick Lehman, Raul Valle, and Eric Chao, University of Florida
Optimizing Digital Learning Through Data Analytics and Natural Language Processing
12:46 - 12:56: Audrey Yip and Jenni Yu, Wellesley College
Exploring Factors Influencing User Engagement with Academic Institution-Related YouTube Videos: A Case Study of "AAA College"
12:58 - 13:08: Ainsley Yuknis and Deepit Chandgothia, Grinnell College
Squirrel Threat Assessment on Institution Campus
13:10 - 13:20: Raleigh Martin and Emma Osborn, South Dakota School of Mines and Technology
Battery Efficiency of Select Popular Batter Brands
13:22 - 13:32: Ryan Mitchell, Duke University
An Investigation of Inequity on 'Big Brother': Diving into Disparities on the Hit Reality Show
13:34 - 13:44: Courtney FitzMaurice, Ellie Davis, and Yifan Coco Zhang, Williams College
Socioeconomic Status and Racial Demographics as Determinants of Healthcare Coverage
2:00 p.m. – 3:00 p.m. (ET)
Keynote Address
Title: Computational Advertising and Data Science
Presented by: Jialiang Mao, Staff Data Scientist, LinkedIn
Over the past few decades, the technology industry has been instrumental in shaping the field of data science, acting as a catalyst for new ideas and innovations. Positioned at the intersection of AI, engineering, product management, and FP&A, data science occupies a crucial—yet sometimes ambiguous—role in today‘s tech landscape. In this presentation, I’ll use the journey of LinkedIn’s Ads Data Science team as a case study to explore how the role and expectations of data scientists have evolved to better align with business needs. I’ll also discuss the key distinctions between excelling in applied industry settings versus traditional statistical training, and share learnings on preparing for a successful career in this dynamic field.
Student Moderators: Andy Day and Josh Kaplan, Colby College
3:00 p.m. – 3:45 p.m. (ET)
Graduate School Information Session
Jo Hardin, Professor of Mathematics and Statistics, Pomona College
Annie Tang, Assistant Professor of Statistics, Colby College
Ashley Mullan, Ph.D. Student in Biostatistics, Vanderbilt University Medical Center
Joseph LaRocca, M.S. Student in Biostatistics, Columbia University
Student Moderators: Shikha Shrestha and Olivia McClammy, Swarthmore College
3:45 p.m. – 4:30 p.m. (ET)
Panel Discussion About Career
Claire McKay Bowen, Senior Fellow, Urban Institute; Adjunct Professor, Stonehill College
Catherine Chalikian, Associate Data Scientist, The Johns Hopkins Applied Physics Lab
Liang Zhang, Economics PhD Candidate, Boston College (formerly Federal Reserve Bank of Boston)
Thandi Steele, Senior Analyst, New Balance
Student Moderators: Leah Valentiner and Tayae Rogers, Wellesley College
4:30 p.m. – 4:40 p.m. (ET)
Closing Remarks