Friday, November 7th, 2025
11:00 a.m. – 11:45 a.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: James Johnson-Brown, Sophia Anisman, and Iris Li, Williams College
Litigating Mitigation: Climate Policy Regimes as Determinants of Litigation Frequency
12:22 - 12:32: Linh Nguyen and Duc Duong, Grinnell College
Spatial and Demographic Effects on Theft Distribution Across Los Angeles
12:34 - 12:44: Abdullah Kamal, Texas State University, and Michala Gradner, University of Texas at Austin
Comparative Analysis of Speaker Diarization Techniques using Different Clustering Methods on CNN-Based Speaker Segmentation for Enhanced Precision and Recognition
12:46 - 12:56: Casey Crary, Amherst College
Exploring Capture Recapture Methods: From Historical Origins to Modern Applications
12:58 - 13:08: Anton Yang and Ching Yi Ng, University of Missouri - Columbia
Developing a National Insurance Program to Mitigate Dam Failure Losses and Improve Relief Outcomes for Stakeholders in Tarrodan
13:10 - 13:20: Elvin Liu, University of Washington
A Comparison of Methods for Constructing Population Variance Confidence Intervals
13:22 - 13:32: Nathan McCurdy and Oliver Northing, Grinnell College
Not all Spills are Equal, and Neither are Paper Towels
13:34 - 13:44: Duy Nguyen and Minh Nguyen, Grinnell College
Risk Factors for Dense Breast in US Women: Insights from the Breast Cancer Surveillance Consortium
13:46 - 13:56:Varya Kluev, University of Cambridge, and Alessa Somer, Google (formerly Williams College)
Valid Statistical Inference with Missing Data in Real-World Datasets
2:00 p.m. – 3:00 p.m. (ET)
Keynote Address
Title: Learning, Teaching, and Communication in the Age of AI: Wisdoms and Warnings from Harvard Data Science Review
Presented by: Xiao-Li Meng, Whipple V. N. Jones Professor of Statistics, Harvard University; Founding Editor-in-Chief, Harvard Data Science Review
Abstract: This talk is a recast of the introductory lecture for an intensive weekly course that uses AI technologies to transform the way we learn, teach, and communicate. Drawing on examples and readings from the Harvard Data Science Review (HDSR), the presentation introduces key themes at the intersection of data science and AI technologies. It begins with the evolving history and definitions of “artificial intelligence,” highlighting how meanings have shifted across decades and disciplines. It then turns to the data life cycle and to the central role of data acumen in responsible inference and decision-making, and highlights the double-edged nature of data variation as both a source of information and of uncertainty. The overarching goal is to frame AI not merely as a technological revolution, but as an intellectual and pedagogical opportunity to enhance our individual mindware for understanding, reasoning, and communicating in a datafied world.
Student Moderators: Sunny Shi and Ernesto Garza, Swarthmore College
3:00 p.m. – 3:45 p.m. (ET)
Graduate School Information Session
Roger Woodard, Director for the Masters in Data Science, Notre Dame University
Anna Neufeld, Assistant Professor in Statistics, Williams College
Daniel Goldblatt, Ph.D. Student in Biostatistics, University of Pennsylvania
Sumin Byun, M.S. Student in Data Science, Harvard University
Student Moderators: Lora Larochelle and Jianing Liu, Colby College
3:45 p.m. – 4:30 p.m. (ET)
Panel Discussion About Career
Andrew Giffin, Statistical Reviewer; FDA
Sundar Solai, Senior Product Manager, Synthesia
JP Wong, R&D Analyst; Atlanta Braves
Jihong Lee, Quantitative Developer, London Stock Exchange Group
Student Moderators: PJ Summers and Isaiah Rell, Notre Dame University
4:30 p.m. – 4:40 p.m. (ET)
Closing Remarks