Data Pipelines, Models and Analytics in the Life Sciences

Tuesday, November 12 • 10:30 a.m. – 12:00 p.m.

In this session, tailored for life sciences and pharmaceutical industry scientists, we will dive into data pipelines, modeling and analytics. From initial data collection at the bench and laboratory instrumentation, discover how our expert speakers engineer robust pipelines, streamlining the data life cycle to allow more time for scientific inquiry. Topics include the construction of efficient pipelines, the development of predictive models and the analysis of data providing crucial insights for informed decision-making. 

Session Chair:

Ian Kerman, M.S. (Certera)

Speakers:

Mike Tarselli, Ph.D. (Amazon Web Services)
Topic: Data Foundations: Paving the Way for AIML and GenAI

Paul Jensen, Ph.D. (University of Michigan)

Geoff Pleiss, Ph.D. (University of British Columbia)
Topic: Foundation Models for Scientific Discovery: Combining LLMs and Bayesian Optimization for Molecules