Virtual Video Presentation Session
Presenters will be standing by from 11:30 am - 12:20 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).
- From Reinforcement Learning to Portfolio Management
Yuling Chen (University of Toronto) - Quantitative Analysis of Polygenic Risk Score Prediction in the Genes for Good Cohort
Anna Ballou (Smith College) - Forestry Data Science: Reclassifying LANDFIRE's Existing Vegetation Type Variable
Madelon Basil (Swarthmore College) - R Shiny Program for Statistics Education
Shubo Sun, Ruisi Wang, and Yiyun Gong (The Pennsylvania State University) - Investigating Variance Estimation under Systematic Sampling with US Forestry Service Data
Sarah Maebius (Reed College) and Alexander Flowers (Swarthmore College) - Distribution of Shots in Women's College Basketball
Jennifer Eberling (University of Vermont) - Graphical Inference with Convolutional Neural Networks
Elliot Pickens (Carleton College) - Modeling March Madness Picks
Simon-Peter Nyamoko-Agata (Elon University)
Opening Remarks
By Kelly McConville, Assistant Professor of Statistics, Reed College
Plenary Talks by USPROC Award Winners
12:30 - 12:40 pm: Senay Gokcebel and Maya Gardner, Grinnell College
12:42 - 12:52 pm: Luke Benz, Yale University
12:54 - 1:04 pm: Lauren Acker, Natalie Cook, and Zack Jones, Grinnell College
1:06 - 1:16 pm: Simon Couch, Reed College
1:18 - 1:28 pm: Lucas Krishan and Ryan Hornby, Vassar College
1:30 - 1:40 pm: Katherine Arneson and Kasey Coutermash, St. Olaf College
1:45 - 1:55 pm: Discussion of Undergraduate Research Opportunities
Keynote Address
Finding Your Balance: Foundations vs Evolution in Data Science
Abstract: Some of us are attracted to shiny new things - new algorithms, new programming languages, new hypotheses, even new careers. Some of us tend to stick to the tried and true: foundational methods, training in fundamentals, the job where we know exactly where we fit in and how we can contribute. But of course we all need a bit of both, held in a healthy tension. From analytical decisions to career choices, we’ll talk about what shape that tension can take in a career in clinical research and healthcare data science.
Jennifer Thompson, Data Scientist, Devoted Health
Student Moderators: Madelon Basil and Isaac Kleisle-Murphy, Swarthmore College
Graduate School Information Session
Jennifer Hoeting, Professor of Statistics, Colorado State University
Tess Hamzeh, Masters of Applied Statistics, Colorado State University
Clara Drew, PhD Student in Biostatistics, University of Minnesota School of Public Health
Bryan Martin, PhD Student in Statistics, University of Washington
Student Moderator: Marisa Flores, Montana State University
Panel Discussion About Careers in Industry and Government
Peter Calhoun, Biostatistician, Jaeb Center for Health Research
Gretchen Moisen, Research Scientist, Forest Inventory and Analysis Program
Andrew Thomas, Director of Data Science at SportsMEDIA Technology, formerly Lead Hockey Researcher with the Minnesota Wild
Student Moderators: Lily Diao and Joyce Huang, Smith College
Closing Remarks