Wharton Statistics and Data Science Seminars, Conferences, and Workshops

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Fall 2024 Seminars

Date Presenter Title
Wharton Special Student Invited Seminar 
Wednesday, August 28
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Victor Chernozhukov – Massachusetts Institute of Technology Long Story Short: Omitted Variable Bias in Causal Machine Learning
Wednesday, September 4
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Ruodu Wang – University of Waterloo  Combining P-Values Under Dependence and Optimal Transport 
Statistics-Biostatistics Distinguished Invited Lectureship
Wednesday, September 11
Time: 11:00-12:00 pm
Location: Arthur H. Rubenstein Auditorium
Wing Hung Wong – Stanford University  Applications of AI Methods in Mainstream Statistics
Wednesday, September 18
Time: 3:30-4:30 pm
Location: F60 Jon M. Huntsman Hall
Lihua Lei – Stanford University Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal Effects 
Wednesday, September 25
Time: 3:30-4:30 pm
Location: G65 Jon M. Huntsman Hall
Jane-Ling Wang – University of California, Davis  Deep Learning for Censored Survival Data 
Wednesday, October 2
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Lorin Crawford- Microsoft/Brown University  Statistical Challenges and Opportunities in Defining, Modeling, and, Targeting Cell State in Cancer 
Monday, October 7
Time: 4:30-5:30 pm
Location: 213 Steinberg Hall – Dietrich Hall
Denny Zhou- Google DeepMind LLM Reasoning: Key Ideas and Limitations
Wednesday, October 9
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Bo Li – Washington University, St. Louis  Perspectives on Climate Model Evaluation 
Wednesday, October 16
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Samuel Hopkins – Massachusetts Institute of Technology Robustness Auditing for Linear Regression — To Singularity and Beyond
Wednesday, October 23
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Vladimir Koltchinskii – Georgia Tech  Efficient Estimation of Smooth Functionals of High-Dimensional Parameters: Two Models and Two Estimation Methods
Wednesday, October 30
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Cong Ma – University of Chicago  Taming Covariate Shift: From Prediction to Uncertainty Quantification 
Wednesday, November 6
Time: 3:30 – 4:30 pm
Location: G65 Jon M. Huntsman Hall
Edward Kennedy – Carnegie Mellon University  Minimax Optimality in Causal Inference
Wednesday, November 13
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Yihong Wu- Yale University  Next- Symbol Prediction Without Mixing: Optimal Rates, Algorithms, and Hardness
Lawrence D. Brown Distinguished Lecture
Wednesday, November 20
Time:
12:00-1:00 pm
Location:
109 Steinberg Hall – Dietrich Hall
Susan Murphy- Harvard University  Lawrence D. Brown Distinguished Lectures Series
Wednesday, December 4
Time: 12:00-1:00 pm
Location: 109 Steinberg Hall – Dietrich Hall
Edo Airoldi – Temple University 

Previous Statistics Seminars

Related Seminars

Conferences/Workshops

Date Title
Tuesday, November 19, 2024 – Thursday, November 21, 2024 Lawrence D. Brown Distinguished Lecture Series by Susan Murphy
Tuesday, April 23, 2024 – Thursday, April 25, 2024 Lawrence D. Brown Distinguished Lecture Series by David Donoho
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