Program in Quantitative Genomics
The Program in Quantitative Genomics (PQG) develops and applies quantitative methods to help handle massive genetic, genomic, and health data. Based in the Harvard Chan School and Longwood Medical Area, its goal is to improve health through the interdisciplinary study of genetics, behavior, environment, and health.
255 Huntington Ave
Building 2, 4th floor
Boston, MA 02115
2026 PQG Conference Agenda
Thursday, October 29, 2026
8:30-9:00 am Registration & Breakfast | Joseph B. Martin Conference Center, 3rd Floor Rotunda
9:00-9:05 Opening Remarks
SESSION 1: Multi-modal Genomics Data
Moderators: Kyle Vogan, Nature Genetics & Kushal Kumar Dey, Memorial Sloan Kettering Cancer Center
* last 5 minutes of all session talks reserved for questions and discussion
9:05-9:55
Eric Xing | KEYNOTE SPEAKER
Mohamed bin Zayed University of AI and CMU School of Computer Science
A World Model of the Virtual Cell
9:55-10:25
Katalin Susztak | University of Pennsylvania
From Kidney Maps to Kidney Models: Genomics, Single-Cell Atlases, and Foundation Models for Precision Nephrology
10:25-10:40
Aarthi Venkat | Abstract Winner Platform Talk
Geometric machine learning enables multiscale perturbational reasoning
10:40-11:00 BREAK
11:00-11:30
Neville Sanjana | New York Genome Center
Massively-parallel approaches to understand the human noncoding genome and transcriptome
11:30-12:00
Sohrab Shah | Memorial Sloan Kettering Cancer Center
Population scale multimodal integration of digital pathology and clinical genomics in oncology
12:00-1:15 LUNCH
SESSION 2: Multi-modal Health Data
Moderator: Kun-Hsing Yu, Harvard Medical School
1:15-2:05
Sylvia K. Plevritis | KEYNOTE SPEAKER
Stanford University
Multiscale Modeling of Lung Cancer: Toward Connecting Population Science and Tumor Biology through Multimodal AI
2:05-2:35
Ben Glass | Roche
Computational Pathology at Scale: From Discovery to Drug Development to Global Diagnostics
2:35-3:05
Saeed Hassanpour | Dartmouth University
Multimodal AI in Cancer: Measuring What Each Modality Adds
3:05-3:30 BREAK
3:30-3:45
Yon Ho Jee | Abstract Winner Platform Talk II
Proteomic Signatures Capture Environmental Exposures Across Diverse Populations
3:45-4:15
Panos Roussos | Icahn School of Medicine, Mt Sinai
Decoding Brain Disease Heterogeneity through Population-Scale Multimodal Genomics
4:15-6:00 Poster Session and Reception | 2nd floor lounge
Friday, October 30, 2026
8:30-9:00 am Breakfast | Joseph B. Martin Conference Center, 3rd Floor Rotunda
SESSION 3: Multimodal AI Systems: Scalable and Trustworthy Integration
Moderator: Tianxi Cai, Harvard Medical School, Harvard T.H. Chan School of Public Health
9:00-9:50
Marinka Zitnik | KEYNOTE SPEAKER
Harvard Medical School
Foundation Models and AI Agents for Biomedical Discovery
9:50-10:20
Hongtu Zhu | UNC Gillings School of Public Health
Multimodal disease routes link risk to biology across the human phenome
10:20-10:40 BREAK
10:40-10:55
Gege Qian | Abstract Winner Platform Talk III
Remodeling of Cancer Cell Architecture by Chemotherapy
10:55-11:25
Cory McLean | Google Research
Multimodal LLMs and beyond: optimizing prediction models with controlled agent swarms
11:25-11:55
Yushun Dong | Florida State University
From Multimodal Reasoning to Trustworthy AI Agents for Genomics and Health
11:55-12:00 Closing Remarks
Xihong Lin, Conference Chair