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Seminars

The Department of Biostatistics hosts hour-long seminars most Wednesdays during the academic year, featuring an international lineup of statistical experts and biomedical researchers. These are attended by the majority of faculty, staff, and trainees, along with members of the wider scientific community.

Most of the seminars are presented virtually and open to the public; to join the seminar mailing list, contact the list admin.

Here's our Fall 2026 schedule:

DateSpeakerPrimary affiliationPresentationFormatMore about the speaker
August 18, 2026Corinne Riddell, PhDUniversity of California, BerkeleyThree Methods for Achieving Causal Inference and Overcoming Confounding Biaseshybrid
September 9, 2026Dongyuan Song, PhDUConn HealthTowards Location-Resolved Statistical Inference in Spatial Transcriptomicsvirtual
September 16, 2026James O'Malley, PhD, FASAGeisel School of Medicine at DartmouthCausal Estimation of Intervention Spillover in a Cluster-Randomized Stepped Wedge
Trial: Lessons from a Physician Network		virtual
September 23, 2026Fei Xue, PhDPurdue UniversityFederated Learning for Feature Mismatchvirtual
September 30, 2026Samprit Banerjee, PhDCornell UniversityWhen Did the Stress Begin? Statistical Learning for Passively Sensed mHealth Data in Late-Life Mood DisordersVirtual
October 7, 2026Yao Xie, PhDGeorgia Institute of TechnologyStatistical Inference for Evolving Time Series: Change Detection and Conformal PredictionVirtual
October 14, 2026Yuqi Gu, PhDColumbia UniversityStatistical Foundations of Identifiable Latent Representations: From Deep Generative Models to Causal StructureVirtual
October 28, 2026Adam Ciarleglio, PhDGeorge Washington UniversityMultiple imputation in functional regression with applications to EEG data in a depression studyVirtual
November 4, 2026Richard Riley, PhDUniversity of BirminghamSystematic Reviews and Meta-Analysis of Prognosis Research and Prediction ModelsVirtual
November 11, 2026Scarlett Bellamy, ScD, FASABoston UniversityTBDVirtual
November 18, 2026Vincent Arel-Bundock, PhDUniversit茅 de Montr茅alModel to Meaning: How to Interpret Statistical Models with R and PythonVirtual
December 2, 2026Molin Wang, PhDHarvard UniversityTBDVirtual
December 9, 2026TBDTBDTBDVirtual