2022
Data Science Institute Summit
2:00–5:30 pm Friedman Hall, David Rubenstein Forum
The UChicago vision for data science and sessions on DSI research programs, as well as education and outreach partnerships with the City Colleges of Chicago, minority-serving institutions, data.org, and the 11th Hour Project.
Student Seminar: Nicholas Park
12:30–1:00 pm Via Zoom
Master’s Thesis Presentation
NICHOLAS PARK, Department of Statistics, The University of Chicago
“An Optimal Control Approach to Trading in Chinese Markets”
Student Seminar: Matthew Ludwig
10:00–10:30 am Jones 303
Master’s Thesis Presentation
MATTHEW LUDWIG, Department of Statistics, The University of Chicago
“Pitch Optimization Accounting for Random Error”
Billingsley Lectures on Probability: Fredrik Viklund
4:30–5:30 pm Kent 120
BILLINGSLEY LECTURES ON PROBABILITY
FREDRIK VIKLUND, Department of Mathematics, KTH Royal Institute of Technology, Stockholm, Sweden
“Interface dynamics and conformal maps”
Student Seminar: Jarrod Dominguez
3:00–3:30 pm Via Zoom
Master’s Thesis Presentation
JARROD DOMINGUEZ, Department of Statistics, The University of Chicago
“Active Automatically Managed Deep Portfolios with Cryptocurrency Assets”
Student Seminar: Jack Potrykus
12:20–12:50 pm Via Zoom
Master’s Thesis Presentation
JACK POTRYKUS, Department of Statistics, The University of Chicago
“Development of a Python Package for Matching Observational Data”
Student Seminar: Zehao Shao
3:00–3:30 pm Via Zoom
Master’s Thesis Presentation
ZEHAO SHAO, Department of Statistics, The University of Chicago
“Online LDA with Sparse Update”
Student Seminar: JieXin Chen
2:30–3:00 pm Via Zoom
Master’s Thesis Presentation
JIEXIN CHEN, Department of Statistics, The University of Chicago
“High Dimensional Model Selection Problem for Asset Pricing Model”
Student Seminar: Song Liang
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
SONG LIANG, Department of Statistics, The University of Chicago
“Res-VAE: A Highly Scalable Causal Network Discovery Method”
Student Seminar: Xiaomeng Wang
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
XIAOMENG WANG, Department of Statistics, The University of Chicago
“Reweighting the Knockoff Filter for Computational Efficiency”