Rachel Lomasky

Stealth

Dr. Rachel Lomasky is a Chief Data Scientist for Stealth. Dr. Lomasky is focused on identifying key insights in a business' data and analytics strategy through applying her background in machine learning. Dr. Lomasky holds a B.A. in Computer Science from Wellesley College, and a Ph.D. in Computer Science from Tufts University where she specialized in research on acquiring informative training examples. Prior to her time with Stealth, Dr. Lomasky served as the former Senior Director of Machine Learning at Manifold, Director of Analytics for WEVO, and was the Director of Analytics at Opera Solutions. Dr. Lomasky has also served as an adjunct professor at Northeastern University.

• Smith's Assembler
• Fighting COVID-19 with Pretty Machines