Noam is the CEO and Co-Founder at immunai, the first and only company to map the entire immune system for better detection, diagnosis, and treatment of disease. Leveraging single-cell technologies and machine learning algorithms, immunai has mapped out thousands of immune cells and their functions, building the largest proprietary data set in the world for clinical immunological data. Prior to co-founding immunai, Noam had a dual career in both the industry and academia. Noam is a double PhD, and served as a post-doctoral researcher in the Mathematics department at MIT, and in the center of mathematical sciences and applications at Harvard University. In his research, he developed and applied tools from algebra and Algebraic Geometry in the study of classical problems in combinatorics. Noam also worked as an algorithms developer in the Israeli defense forces and subsequently as a data scientist, consultant and head of data science in several hi-tech companies in Israel.
The future of drug development is likely to be deeply impacted by machine learning in a multitude of ways. This panel will reflect on the past, present, and future of what has made drug discovery flourish and fail; with a special focus on the technology driving cutting-edge precision medicine.