Webinars

Upcoming webinars

Bayesian multi-omics disease subtyping with clinical outcome guidance in the context of multi-facet cluster structure
Speaker: Dr. George Tseng, Vice Chair for Research and Professor of Biostatistics, University of Pittsburgh
Date: Monday, November 24, 2025
Time: 1:00–2:00 PM (Eastern)
Register (free but required): https://zoom.us/webinar/register/WN_ZQtk_Nl_Te6y3EVnFhZfsA#/registration

Abstract:
Clustering of high-dimensional multi-omics data is central to precision medicine, yet biological signals are often multi-faceted—driven by sex, age, or disease subtypes. Dr. Tseng will present a Bayesian outcome-guided framework that integrates clinical outcomes to discover clinically meaningful subtypes across multiple omics modalities. Applications and simulations show enhanced interpretability and translational potential.

About the Speaker:
Dr. George Tseng is Professor and Vice Chair for Research in Biostatistics at the University of Pittsburgh, with secondary appointments in Human Genetics and Computational & Systems Biology. An ASA Fellow and past President of the ASA Pittsburgh Chapter, he currently serves as Chair of ASA SSGG (2023–2025). His research focuses on statistical machine learning and modeling for omics and bioinformatics applications.

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Previous webinars

The recordings for previous webinars can be accessed through the members-only site. To access, please log in and travel to the past webinars tab. If you are not a section member yet, you may join us through Join – Section on Statistics in Genomics and Genetics (amstat.org).

November 2025: Bayesian multi-omics disease subtyping with clinical outcome guidance in the context of multi-facet cluster structure (Dr. George Tseng)
October 2025: Statistical Frontiers in Cellular and Cancer Evolution (Dr. Nancy Zhang)
October 2025: AI Agents for Biomedical Discovery (Dr. James Zou)
September 2025: Navigating K99/R00 Grants in Statistical Genomics & Genetics (Drs. Nilanjan Chatterjee, Jin Jin, Lauren Peres, Stephanie Hicks, Ziqiao Wang, Wenpin Hou)
August 2025: Statistical Learning in the Wild: Tackling Double Dipping in Unsupervised Single-Cell and Spatial Transcriptomics (Dr. Jessica Jingyi Li)
July 2025: Turning Crap Data into Scientific Discovery: Statistical Magic in Microbiome Science (Dr. Micheal Wu)
April 2025: Gene-environment Interaction Analysis: A High-dimensional Analysis Perspective (Dr. Shuangge (Steven) Ma)
March 2025: Predictive biomarker approaches for precision medicine (Dr. Gina D'Angelo)
January 2025: The Value of Postdoctoral Training in Statistical Genomics and Genetics (Drs. Andrew Stiemke, Qingyu Chen, Soumik Purkayastha, and Jean Morrison)
November 2024: Leaders Create the Container: Setting the Foundation for How Work is Done (Michelle M. Lamere)
October 2024: Leveraging the Power of Large Language Models (LLMs) by Statisticians: An Example AI Application (Dr. Junshui Ma)
September 2024: Statistical methods for spatial transcriptomics (Dr. Xiang Zhou)
June 2024: Panel Discussion on Collaboration in Statistical Genetics and Genomics (Dr. Mengjie Chen, Dr. Mitchell Machiela, Dr. Arvind Shah, and Dr. Qi Liu)
April 2024: Data thinning to overcome double dipping (Dr. Anna Neufeld)
March 2024: The importance of genetic evidence to improve productivity in drug discovery & development (Dr. Matthew R. Nelson)
January 2024: Translating polygenic risk scores in the clinic: promises and challenges (Dr. Bogdan Pasaniuc)
November 2024: Rigor, Reproducibility, and Mindful Programming (Dr. Claudia Solís-Lemus & Dr. Stephanie Hicks)
October 2023: Time order structure and feature learning for trajectory modeling (Dr. Benedict Anchang)
September 2023: Panel Discussion on Academic Careers and Job Search (Dr. Alison A. Motsinger-Reif, Dr. Nianjun Liu, Dr. Brooke Fridley, Dr. Shilin Li, Dr. Jack O’Brien, and Dr. Kesley Grinde)
July 2023: Tips for (Your First) JSM! (Dr. Nancy Zhang and Dr. Michael Wu)
May 2023: Panel Discussion on Industry Careers and Internships (John Palcza, Dr. Audrey Y. Chu, Dr. Olukayode Sosina, and Dr. Jingchunzi Shi)
March 2023: Bayesian Methods for Spatially Resolved Transcriptomics Data Analysis (Dr. Qiwei Li)
February 2023: Recommendations on the use and reporting of race, ethnicity, and ancestry in genetic research (Alyna Khan and Dr. Sarah C. Nelson)
January 2023: Panel Discussion on NIH Grant Funding and Grant Review (Dr. Katerina Kechris, Dr. Jingyi Jessica Li, Dr. Li-Xuan Qin, and Dr. Grzegorz A. Rempala)
November 2022: Manuscript Writing Tips and Guidelines (Dr. Mingyao Li and Dr. Sanjay Shete)
October 2022: Multivariate Integration of Multi-Omics Data (Dr. Kim-Anh Lê Cao)
September 2022: Pharmacogenomics (PGx) at Merck: Strategy, Projects and Research (Dr. Judong Shen)
June 2022: Career Panel on Grant Application Panel Discussion (Dr. Saonli Basu, Dr. Mingyao Li, Dr. Victoriya Volkova, Dr. Judy Huixia Wang)
April 2022: Using Genomic Data Repositories for Secondary Analysis: Promises and Challenges (Dr. Saonli Basu)
March 2022: Multi-Omics Integration: Problems, Potential and Promise (Dr. Katerina Kechris)
February 2022: Leveraging Mentorship (Dr. Ruth Gotian)
November 2021: Network-based methods for analysis of microbiome and metabolomic data (Dr. Jing Ma)
October 2021: Advanced statistical methods for genetic association studies (Dr. Zhengzheng Tang)
September 2021: Statistical Methods for Analysis of Heterogeneous Tumor Samples (Dr. Wenyi Wang)
June 2021: Career Panel on Time Management, Research Strategy and Healthy Habits for Graduate Students (Dr. Kelsey Grinde, Dr. Rui Duan, and Dr. Danielle Braun)
June 2021: Statistical Genomics at Procter and Gamble (Dr. Dionne Swift and Dr. Kellen Kresswell)
May 2021: Computational Analyses of Multi-Modal Single-Cell Data (Dr. John Marioni)
April 2021: Genetics of Within-Subject Variability and Diabetes Complications (Dr. Jin Zhou)
March 2021: Interrogating the Gut Microbiome: Estimation of Bacterial Growth Rate and Prediction of Biosynthetic Gene Clusters (Dr. Hongzhe Li)
February 2021: Addressing bias in genetic epidemiology for admixed populations (Dr. Genevieve Wojcik)