Dr. Adler Perotte is an Assistant Professor in the Department of Biomedical Informatics as well as the co-founder and faculty advisor to the Health Tech Assembly. Dr. Perotte’s primary research areas are Bayesian inference and prediction based on electronic health record data and metabolomics. Prior to joining the department in this capacity, Dr. Perotte was an NLM Postdoctoral Fellow in Biomedical Informatics at Columbia University. Before that, Dr. Perotte worked as a Research Specialist between Princeton’s Computational Memory and Artificial Intelligence laboratories studying probabilistic models of memory. While earning his MD from Columbia University, Dr. Perotte interned with Columbia’s technology transfer office to evaluate promising university technology for commercial potential.
- Amy P. Abernethy, US FDA
- Graeme Archer, GSK R&D
- Jesse Berlin, Johnson & Johnson
- Lawrence Carin, Duke
- Noémie Elhadad, Columbia
- Igor Jurisica, Krembil Research Institute and University of Toronto
- Faisal Khan, AstraZeneca
- Kannan Natarajan, Pfizer
- Amol Navathe, University of Pennsylvania
- Adler Perotte, Columbia
- Patrick Ryan, Janssen Research and Development
- Mary Ann Slack, US Food and Drug Administration (FDA)
- Simon Tavaré, Columbia
- Mihaela van der Schaar, Cambridge
- Li Wang, AbbVie
Countdown to AIPM
AIPM has begun!
Welcome Address — David Madigan, Ph.D., Columbia University
A Perspective on the Promise and Pitfalls of Artificial Intelligence in Clinical Drug Development — Kannan Natarajan, Pfizer Inc.
Machine Learning: Changing the future of healthcare – from next generation clinical trials to individualized treatment effects — Mihaela van der Schaar, University of Cambridge
Discussant — Patrick Ryan, Janssen Research and Development
ML and AI in Clinical Development and Statistical Innovation — Wang Li, AbbVie.
Opportunities for AI in Healthcare — Lawrence Carin, Duke University
- Demissie Alemayehu, Pfizer Inc.
- David Madigan, Columbia University