2023
Student Seminar: Jin Sung Kim
9:00–9:30 am Via Zoom
Master’s Thesis Presentation
Jin Sung Kim, Department of Statistics, The University of Chicago
“Efficiency of Various BERT Models in Identifying and Classifying Political Bias in Korea Media”
CAM Colloquium: Shidong Jiang
4:00–5:00 pm Jones 303
Shidong Jiang, Center for Computational Mathematics, Flatiron Institute
“A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution”
CAM and Stats Student Seminar: Kingsley Yeon
12:30–1:30 pm Jones 303
Kingsley Yeon, Committee on Computational and Applied Mathematics
“Deep Univariate Polynomial and Conformal Approximation”
CANCELED--Statistics Colloquium: Susan Murphy
11:30 am–12:30 pm Jones 303
CANCELED—Susan Murphy, Department of Statistics and Computer Science, Harvard University
Autumn 2023 Distinguished Speaker Series: Elizabeth Barnes
12:00–1:30 pm John Crerar Library, Room 390
Presented by the Data Science Institute in partnership with the Departments of Statistics, Computer Science, and the Committee on Computational and Applied Mathematics
Elizabeth Barnes, Department of Atmospheric Science, Colorado State University
“Explainable AI for Climate Science: Opening the black box to reveal planet Earth”
CAM Colloquium: Per-Gunnar Martinsson
4:00–5:00 pm Jones 303
Joint colloquium with the Data Science Institute (DSI)
Per-Gunnar Martinsson, Department of Mathematics, University of Texas at Austin
“Randomized Algorithms for Linear Algebraic Computations”
AI+Science Schmidt Fellows Speaker Series: Lee Cooper
4:30–6:00 pm William Eckhardt Research Center, Room 401
Lee Cooper, Northwestern University
“Transparent modeling of invasive breast cancer outcomes from history”
CAM and Stats Student Seminar: Adela DePavia
12:30–1:30 pm Jones 303
Adela DePavia
Committee on Computational and Applied Mathematics
University of Chicago
“Algorithms from Graph Searching Problems Based on work with Erasmo Tani and Ali Vakilian”
Statistics Colloquium: Liza Levina
11:30 am–12:30 pm Jones 303
Liza Levina, Department of Statistics, University of Michigan
“Latent space models for multiplex networks”
Visiting PhD Student Talk: Tobias Friedling
2:30–3:30 pm Jones 226
Tobias Friedling, University of Cambridge
“Selective Randomization Inference for Adaptive Studies”