Merging AI with Experimentation for Modern Discovery

Wednesday, November 13 • 1:10 p.m. – 2:30 p.m.

Increasingly, machine learning and ML models are seen less as one-offs for analyzing experiments and more as iterative partnerships between wet and dry labs. Session presentations will focus on how AI drives experimental inquiry and changes how we ask discovery questions. 

Session Chair:

Jeremy Jenkins, Ph.D. (Novartis BioMedical Research)

Speakers:

Jeremy Jenkins, Ph.D. (Novartis BioMedical Research)
Topic: Generative Drug Discovery

Marinka Zitnik, Ph.D. (Harvard Medical School)
Marinka Zitnik is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, Associate Faculty at the Kempner Institute for the Study of Natural and Artificial Intelligence at Harvard University, Associate Member at the Broad Institute of MIT and Harvard, and Affiliated Faculty at the Harvard Data Science Initiative. Zitnik investigates the foundations of AI to enhance scientific discovery and to realize individualized diagnosis and treatment. The overarching goal of her lab is to lay the foundations for AI that contribute to the scientific understanding of therapeutic design and genomic medicine or acquire such understanding autonomously.