Past Events

2021

AHMED EL ALAOUI, Department of Statistics and Data Science, Cornell University

Statistics Colloquium: Ahmed El Alaoui

4:30–5:30 pm Via Zoom

AHMED EL ALAOUI, Department of Statistics and Data Science, Cornell University
“Optimization and Sampling from Random Quadratic Potentials”

Nov 1
Hao Duan, MS candidate

Student Seminar: Hao Duan

1:30–2:00 pm Via Zoom

Master’s Thesis Presentation
HAO DUAN, Department of Statistics, The University of Chicago
“Investigation of a Nonparametric Copula Approach to Conditional Value-at-Risk and Conditional Expected Shortfall”

Nov 1
Qiqing Xu, MS candidate

Student Seminar: Qiqing Xu

1:00–1:30 pm Via Zoom

Master’s Thesis Presentation
QIQING XU, Department of Statistics, The University of Chicago
“A Comparison of Semi-nonparametric Bootstrapping Approaches with Nonparametric Index Estimations for Determining Value-at-Risk”

Nov 1
LORIN CRAWFORD, Microsoft Research New England; Department of Biostatistics, Brown University

Statistics Colloquium: Lorin Crawford

4:30–5:30 pm Via Zoom

LORIN CRAWFORD, Microsoft Research New England; Department of Biostatistics, Brown University
“Statistical Frameworks for Variable Selection with 3D Shapes and High-Resolution Imaging”

Oct 25
Aarti Singh

Data Science Institute Distinguished Speaker Series: Aarti Singh

3:00–4:00 pm JCL 390

This event will take place online via Zoom and Youtube. Register for details at https://www.eventbrite.com/e/aarti-singh-learning-and-decision-making-with-preferential-supervision-tickets-190768211857.

Aarti Singh, Machine Learning Department, School of Computer Science, Carnegie-Mellon University
“Learning and Decision Making with Preferential Supervision”

Oct 25
Andrea Montanari

Statistics Colloquium: Andrea Montanari

4:30–5:30 pm Via Zoom

ANDREA MONTANARI, Department of Electrical Engineering,
Department of Statistics, and (by courtesy) Department of Mathematics,
Stanford University
“Tractability, Generalization and Overparametrization in Linear and Nonlinear Models”

Oct 18
Genevera Allen (Rice)

Data Science Institute Distinguished Speaker Series: Genevera Allen (Rice)

3:00–4:00 pm JCL 390

This event will take place both in-person at John Crerar Library Building Room 390 and online via Zoom or YouTube. Please register at https://youtu.be/jh4dvvhnBDc and choose your preference for additional details.

Genevera Allen (Rice), Associate Professor of Electrical and Computer Engineering, Statistics, and Computer Science at Rice University
“Graph Learning for Functional Neuronal Connectivity”

Oct 18
SANDRINE DUDOIT, Department of Statistics, Division of Epidemiology and Biostatistics, School of Public Health, University of California Berkeley

Statistics Colloquium: Sandrine Dudoit

4:30–5:30 pm Via Zoom

SANDRINE DUDOIT, Department of Statistics, Division of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley
“Learning from Data in Single-Cell Transcriptomics”

Oct 11
Rafael Irizarry, Departments of Data Science at Dana-Farber Cancer Institute and Applied Statistics, Harvard University

Statistics Colloquium: Rafael Irizarry

4:30–5:30 pm Via Zoom

RAFAEL IRIZARRY, Departments of Data Science at Dana-Farber Cancer Institute and Applied Statistics, Harvard University
“Statistical Approaches for Single Cell Technologies”

Oct 4
Jason Willwerscheid, PhD student

Student Seminar: Jason Willwerscheid

10:00–11:00 am Via Zoom

Dissertation Presentation and Defense
JASON WILLWERSCHEID, Department of Statistics, The University of Chicago
“Empirical Bayes Matrix Factorization: Methods and Applications”

Sep 7