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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.

Location

255 Huntington Ave
Building 2, 4th floor
Boston, MA 02115

2026 PQG Conference Speakers

Session I: Multi-modal Genomics Data

Eric Xing, PhD

Professor of Computer Science, Carnegie Mellon University

Eric Xing

Katalin Susztak, MD, PhD

Professor of Medicine, Perelman School of Medicine, University of Pennsylvania

Katalin Susztak

Neville Sanjana, PhD

Professor of Biology, Neuroscience and Physiology, New York University

Neville Sanjana

Panos Roussos, MD, MS, PhD

Professor of Psychiatry and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai

Panos Roussos

Session II: Multi-modal Health Data

Sylvia K. Plevritis, PhD

William M. Hume Professor in the School of Medicine, Professor of Biomedical Data Science and of Radiology, Stanford University

Sylvia K. Plevritis

Andy Beck, MD, PhD

Chief Executive Officer, Co-founder, Path AI

Andy Beck

Saeed Hassanpour, PhD

Professor of Biomedical Data Science, Professor of Epidemiology, Dartmouth Geisel School of Medicine

Saeed Hassanpour

Sohrab Shah, PhD

Chief of Computational Oncology; Nicholls-Biondi Chair in Computational Oncology, Memorial Sloan Kettering Cancer Center

Sohrab Shah

Session III: Emerging Technologies

Marinka, Zitnik, PhD

Associate Professor of Biomedical Informatics, Harvard Medical School

Marinka Zitnik

Hongtu Zhu, PhD

Kenan Distinguished Professor of Biostatistics, Gillings School of Global Public Health

Hongtu Zhu

Cory McLean, PhD

Senior Staff Software Engineer, Google Research

Corey McLean

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