2022
Student Seminar: Ziyang Wei
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
ZIYANG WEI, Department of Statistics, The University of Chicago
“Weighted Averaged Stochastic Gradient Descent: Asymptotic Normality and Optimality”
Student Seminar: Deqing Fu
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
DEQING FU, Department of Statistics, The University of Chicago
“Topological Regularization in Deep Learning”
DSI Events: Elizabeth Bondi
3:00–4:00 pm Via Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
ELIZABETH BONDI, PhD Candidate, Harvard University
“Translating AI to Impact: Uncertainty and Human-agent Interactions in Multi-agent Systems for Public Health and Conservation”
Student Seminar: James Keane
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
JAMES KEANE, Department of Statistics, The University of Chicago
“Predicting French Air Pollution”
DSI Events: Yuan Tian
2:00–3:00 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Joint Seminar
YUAN TIAN (University of Virginia)
“When AI Meets Privacy: Building Privacy-preserving AI Systems”
DSI Events: Ana Marasović
2:00–3:00 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
ANA MARASOVIĆ, Postdoctoral Researcher, University of Washington
“Self-Explaining for Intuitive Interaction with AI”
Statistics Colloquium: Yihong Wu
4:30–5:30 pm In-Person and via Zoom
YIHONG WU, Department of Statistics and Data Science, Yale University
“Spectral Graph Matching: Theory and Algorithms”
Student Seminar: Josephine Santoso
11:00–11:30 am Via Zoom
Master’s Thesis Presentation
Josephine Santoso, Department of Statistics, The University of Chicago
“Analysis of Serial Founder Effect on Phonemic Diversity”
Student Seminar: Benjamin Ticknor
10:00–10:30 am In-Person
Master’s Thesis Presentation
Benjamin Ticknor, Department of Statistics, The University of Chicago
“A Bayesian Method for Automated Golf Course Difficulty Rating”
DSI Events: Chara Podimata
2:00–3:00 pm In-Person and Live Stream or Zoom
Data Science Institute/Computer Science/Statistics Candidate Seminar
CHARA PODIMATA, PhD Candidate, Harvard University
“Incentive-Aware Machine Learning for Decision Making”
Host: Raul Castro Fernandez