Matthew Kent & David Romoff

Teaches at NYC Data Science Academy

Matt is an analyst with 8 years of experience in the healthcare field. Currently, he works as a consultant for life science companies supporting their oncology research. Prior to that he worked in the Epidemiology and Biostatistics department at Memorial Sloan Kettering Cancer Center collaborating with surgeons and fellows to produce research papers on bladder, kidney, and prostate cancer. He also helped developed prediction models to evaluate patient outcomes at the point of care and led the development of MSK's web application to provide risk adjusted feedback to surgeons on their outcomes in comparison to their peers. Matt has an MS in Predictive Analytics from Northwestern University and a BS in Bioengineering from Binghamton University. David Romoff 

David Romoff David Romoff is a risk management consultant with 10 years of experience modeling market and credit risk using the latest methods and technologies. David's recent work includes serving as Manager of Risk Management at On Deck Capital, a business lending company in the FinTech space that uses machine learning models to underwrite loans. David was responsible for estimating and reporting losses on the book of loans. Previously, David worked in Enterprise Risk Management at AIG for five years where he designed and supported models on insurance risk, credit risk, and capital allocation. Before AIG, he worked at Bear Stearns in counterparty credit risk. David has an MBA from the Zicklin School of Business in New York City and a Master of Science in Actuarial Science from Columbia University. His undergraduate degree is from the State University of New York at Albany, where he studied psychology and philosophy.