Colloquium Seminar Series

The HSPH Biostatistics & DFCI Data Science Colloquium Seminar Series, co-sponsored by our sister department at the Dana-Farber Cancer Institute, is our flagship event that brings together faculty, students, postdocs, and researchers across both departments nearly every week. This seminar series brings in top academics working in the field to present important research and exchange new ideas.

All seminars are held at 4pm on Thursday afternoons in FXB-301.

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Upcoming Colloquium

• November 6th – Andrea Foulkes
  ” Statistical Challenges in Long COVID Research: Examples from the RECOVER Cohort Studies”
• November 13th – Joint presentation w. Harrison Reeder & Tanayott Thaweethai
  “Addressing Statistical Challenges in Long COVID Research: Auxiliary Variable-Dependent Sampling Designs and Clustering of Complex Data Types”
  

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2025 Fall Colloquium Schedule

• November 20th – Glen Laird
  

Archives


Rajarshi Mukherjee
October 16th | FXB-301
Estimation and Inference of Two Doubly Robust Functionals in High Dimensions

Cyrus Mehta
October 9th | FXB-301
Flexible Adaptive Procedures for Testing Multiple Treatments, Endpoints or Populations in Confirmatory Clinical Trials

Xihong Lin
October 2nd | FXB- 301
Navigate the Crossroad of Statistics, Generative AI and Genomic Health

Robert Gentleman
September 18th | FXB-301
Reproducible Research – Tools and a case study with NHANES

Thomas Lumley
February 6th | FXB-G13
Choosing good subsamples for regression modeling: nearly true models?

Kasper Hansen
John Hopkins University
March 6 | FXB-G13
Universal Prediction of Cell-Cycle Position Using Transfer Learning

Jeff Goldsmith
Columbia University
March 13 | FXB-G13
How (and Why) to Predict Menstrual Cycle Day Using a Spot Urine Sample

Nancy Zhang
University of Pennsylvania
March 27th | FXB- G13
Data Integration in Spatial and Single Cell Omics:  What is Erased, and Can you Recover it?

Hongzhe Li, University of Pennsylvania
April 3rd | FXB-G13
Fréchet Regression of Random Objects on Vector Covariates and
Its applications for Single Cell RNA-seq Data Analysis

April 10th, 2025
Rebecca Hubbard, Brown University
Location: FXB-G13
Informed Presence Bias in EHR Analysis: Contextual Thinking for Better Inference

April 17th, 2025
Ted Westling, University of Massachusetts Amherst
Location: FXB-G13

April 23rd, 2025
Snigdha Panigrahi, University of Michigan
Location: FXB- G11
Inference with Randomized Regression Trees