FRIDAY, NOVEMBER 3rd, 2023
11:00 a.m. – 11:40 a.m. (ET)
Virtual Video Presentation Session
Presenters will be standing by from 11:00 am - 11:40 am (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.
11:40 a.m. – 11:45 a.m. (ET)
Opening Remarks
By Jingchen (Monika) Hu, Associate Professor in the Department of Mathematics and Statistics at Vassar College
11:45 a.m. – 2:00 p.m. (ET)
Plenary Talks by USPROC Award Winners
11:45 - 11:55: Ashley Kim, Evan Lee, Hoang Le Nguyen, and Will Chen, Williams College
Multivariate Logistic Regression for the Prediction of Coronary Heart Disease
11:57 - 12:07: Maggie Hsu and Vivian Ma, Wellesley College
12:09 - 12:19: Benjamin Zhao and Drake Gorecki, Hamilton College
Examining Feature Rank and Dependency in the Q-CHAT-10 ASD Questionnaire
12:21 - 12:31: Elan Preis, Nick Waizenegger, and Jacob Krynock, Cal Poly
A Comparative Analysis of Translation Performance: ChatGPT vs. Google Translate
12:33 - 12:43: Teagan Johnson, Sam Roseberg, Elijah Jones, and Ton Meesena, Carleton College
Classification Models for Statistical Graphics
12:45 - 12:55: Ro Huang, Duke University
12:57 - 13:07: Duy Nguyen, Anh Vu, and Quang Le, Grinnell College
13:09 - 13:19: Katelyn Diaz, Irene Foster, Caitlin Timmons, and Sunshine Schneider, Smith College
Storm Chasers: Synthesizing New England Weather Data On A Dashboard For Emergency Response Workers
13:21 - 13:31: Stephanie Dietz, University of Florida
Automated Speech Analysis to Reveal Early Biomarkers in Parkinson's Disease
13:33 - 13:43: Che Hoon Jeong, Denison College
Basketball's Three Point Revolution
13:45 - 13:55: Olivia Borownicki, Barnard College
2:00 p.m. – 3:00 p.m. (ET)
How to be the best statistician or data scientist: It’s not what you think
Presented by: Robert L. Santos, Director, U.S. Census Bureau
The world of statistics – including data science – is rapidly evolving. New technologies that enable methods and novel approaches have rapidly emerged in the new millennium. As aspiring statisticians and data scientists, students recognize the importance of learning mathematics and theory associated with these careers, as well as the applications of statistical analysis and data analytics. That seems necessary… but is it sufficient? For this talk I will explain why becoming the best statistician and/or data scientist involves much more than technical training. Using stories from throughout my 40+ year career, I will illustrate the secret ingredients that are needed to bolster your career and how to access them. To give you a clue, it’s all about a journey of discovery, one that is more personal than you might think!
Student Moderators: Jyontika Kapoor and Tayae Rogers, Wellesley College
3:00 p.m. – 3:45 p.m. (ET)
Graduate School Information Session
Joyee Ghosh, Associate Professor of Statistics and Actuarial Science, The University of Iowa
Jaylen Lee, Principal Statistician, University of California, Irvine
Shiyu Shu, PhD student in Biostatistics and Bioinformatics, The George Washington University
Jessica George, PhD student in Biostatistics, University of Southern California
Student Moderators: Divij Jain and Samantha Kilcoyne, Williams College
3:45 p.m. – 4:30 p.m. (ET)
Panel Discussion About Career
Maria Terres, Senior Staff Data Scientist, Waymo LLC
Aaron Williams, Senior Data Scientist, Urban Institute
Rolando Rodriguez, Supervisory Mathematical Statistician, U.S. Census Bureau
Izabella Rivera, Business Analyst, New York State Technology Enterprise Corporation
Student Moderators: Shelby Tisdale and Elyse McFalls, Duke University
4:30 p.m. – 4:40 p.m. (ET)
Closing Remarks