2021
Student Seminar: Nathan Gill
2:00–3:00 pm Via Zoom
Dissertation Proposal Presentation
NATHAN GILL, Department of Statistics, The University of Chicago
“Variance Decomposition in Several Settings”
Student Seminar: Shaoxiong (Dennis) Zheng
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
SHAOXIONG (DENNIS) ZHENG, Department of Statistics, The University of Chicago
“Inference of Gene Regulatory Networks”
Student Seminar: Yuxin Zou
2:00–3:00 pm Via Zoom
Dissertation Presentation and Defense
YUXIN ZOU, Department of Statistics, The University of Chicago
“Bayesian Variable Selection from Summary Data, with Application to Joint Fine-mapping of Multiple Traits”
Student Seminar: Byol Kim
1:00–2:00 pm Via Zoom
Dissertation Presentation and Defense
BYOL KIM, Department of Statistics, The University of Chicago
“Uncertainty Quantification under Weak Assumptions”
Student Seminar: Sen Na
10:00–11:00 am Via Zoom
Dissertation Presentation and Defense
SEN NA, Department of Statistics, The University of Chicago
“Towards Solving Long-horizon Nonlinear Dynamic Programming: Scalability and Robustness”
Student Seminar: Micól Tresoldi
2:00–3:00 pm Via Zoom
Dissertation Presentation and Defense
MICÓL TRESOLDI, Department of Statistics, The University of Chicago
“Sparsity”
Student Seminar: You-Lin Chen
2:00–3:00 pm Via Zoom
Dissertation Presentation and Defense
YOU-LIN CHEN, Department of Statistics, The University of Chicago
“Stochastic and Online learning with Applications to Machine Learning and Statistics”
Student Mini-Seminars (Day 2)
3:00–5:00 pm Via Zoom
Moderator: Daniel Xiang
1. Huy Dang Tran, “Graph Neural Networks“
2. Yuhan Liu, “The Time, The Gaussianity, and The Connectome“
3. Sounak Paul, “Differentially Private Networks“
4. Omar Ghattas, “Valid Statistical Inference with Random Forests“
5. YoonHaeng Hur, “Optimal Transport for Data Science“
6. Irina Cristali, “Using Embeddings for Estimating Causal Effects Over Social Networks“
Student Mini-Seminars (Day 1)
12:00–2:00 pm Via Zoom
Moderator: Abby Stevens
1. (Joon) Joonsuk Kang, “Not All Factor Loadings Are Created Equal“
2. Wei Kuang, “Over-parameterized Matrix Sensing with Factorized Gradient Descent“
3. Subhodh Kotekal, “Statistical Limits of Sparse Mixture Detection“
4. Anghzi Fan, “WGAN and Its Regularization“
5. (Bill) Vasileios Katsianos, “Quantifying the Uncertainty in Drug-Drug Interaction Predictions“
Statistics Colloquium: Richard Gill
4:00–5:00 pm Via Zoom
RICHARD GILL, Mathematical Institute, Leiden University
“Statistical Issues in Serial Killer Nurse Cases”