Spring 2023 Seminars

Date Presenter Title
Wednesday, January 11
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Peng Ding – University of California, Berkeley Interpretable Sensitivity Analysis for the Baron–Kenny Approach to Mediation with Unmeasured Confounding
Wednesday, January 18
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Raaz Dwivedi – Harvard University and Massachusetts Institute of Technology From HeartSteps to HeartBeats: Personalized Decision-making
Friday, January 20
Time: 11:00 am – 12:00 pm
Location: B10 Vance Hall
Jun Liu – Harvard University Data Splitting for Controlled Variable Selection: From Linear to Generalized-linear and Index Models
Friday, January 27
Time: 11:00 am – 12:00 pm
Location: B10 Vance Hall
Ruishan Liu – Stanford University Machine Learning for Precision Medicine
Wednesday, February 1
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Zhimei Ren – University of Chicago Stable Variable Selection with Knockoffs
Wednesday, February 8
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Frederic Koehler – Stanford University Towards the Statistically Principled Design of ML Algorithms
Wednesday, February 15
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Evan Rosenman – Harvard University Shrinkage Estimation for Causal Inference and Experimental Design
Friday, February 17
Time: 11:00 am – 12:00 pm
Location: B10 Vance Hall
Lan Wang – University of Miami Statistical Learning for Individualized Decision Rules: A Quantile Approach
Wednesday, February 22
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Samuel Baugh – Lawrence Berkeley National Lab Bayesian Hierarchical Modeling for Inferring the Causal Relationship Between Human Activities and Climate Change Impacts
Friday, March 3
Time: 11:00 am -12:00 pm
Location: 240 JMHH
Mahlet Tadesse- Georgetown University Bayesian Variable Selection Strategies for High-Dimensional Data
Wednesday, March 15
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Mert Gurbuzbaalaban- Rutgers University  A Stochastic Sub-Gradient Method for Distributionally Robust and Risk- Averse Learning
Wednesday, March 22
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Yue Lu – Harvard University Understanding the Universality Phenomenon in High- Dimensional Estimation and Learning: Some Recent Progress 
Wednesday, March 29
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Qingyuan Zhao – University of Cambridge Simultaneous Hypothesis Testing Using Negative Controls 
Wednesday, April 5
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Guy Bresler – Massachusetts Institute of Technology Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs 
Wednesday, April 12
Time: 12:00-1:00 pm
Location: Zoom
Johannes Lederer – Ruhr-University Bochum Sparsity: From High-Dimensional Statistics To Deep Learning
Wednesday, April 19
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Sabyasachi Chatterjee – University of Illinois at Urbana-Champaign Theory for Cross Validation in Nonparametric Regression
Wednesday, April 26
Time: 12:00-1:00 pm
Location: B10 Vance Hall
Yair Goldberg – Technion–Israel Institute of Technology  Waning Immunity of the BNT 162b2 Vaccine and the Israeli Decision on a Booster Campaign

Previous Statistics Seminars

Conferences/Workshops

Date Title
Friday, February 3, 2023 Women in Data Science Philadelphia@Penn 2023 Conference
Friday, December 10 – Saturday, December 11, 2021 Perspectives in Statistical Modeling and Inference: A Workshop in Honor of Ed George’s 70th Birthday
Wednesday, September 8 – Friday, September 10, 2021 Lawrence D. Brown Distinguished Lecture Series by James Berger
Monday, February 8 – Friday, February 12, 2021 Women in Data Science Philadelphia@Penn 2021 Virtual Conference
Friday, November 30 – Saturday, December 1, 2018 Memorial Service and Workshop in Honor of Lawrence D. Brown
May 20, 2015 Atlantic Causal Inference Conference 2015
December 15, 2010 Borrowing Strength Theory Powering Applications
June 5, 2009 Objective Bayes Meeting 2009
May 20, 2009 Atlantic Causal Modeling Conference 2009