- Ph.D., Biology, Tufts University, 2010
- B.A., Economics, Rice University, 1999
- B.S., Electrical and Computer Engineering, Rice University, 1999
- Peer-Mediation and Conflict Resolution, MIT, 2005
- AAAS Science and Technology Policy Fellow, National Science Foundation, 2011-2013
- NSF Director’s Award for Superior Accomplishment, National Science Foundation, 2012
- International Society for Pharmaceutical Engineering (ISPE)
- International Society for Pharmacoeconomics and Outcomes Research (ISPOR)
Dr. Simon is a data scientist who specializes in the use of complex and heterogeneous datasets to solve challenges in effective healthcare delivery. He has nine years' experience in the healthcare space, with extensive experience working with electronic medical record (EMR) data, payer claims and eligibility data, practice management data, patient experience and socioeconomic data, and other public and private sources of data.
Dr. Simon has developed, prototyped, implemented, and maintained healthcare-related systems focused on data quality, risk adjustment, physician assignment, care management decision support, and text classification for performance monitoring and incentive determination. In addition, Dr. Simon has overseen the development of machine-learning based predictive tools performing a range of inferential functions from utilization likelihood to patient benefit optimization. Dr. Simon has also overseen the development of life sciences-focused data for research and has written and presented on the importance of implicit bias mitigation in predictive analytics.