• Erik Hemberg, PhD is a Post Doctoral researcher in the ALFA group in CSAIL at the Massachusetts Institute of Technology. He performs research regarding scaleable machine learning. He is currently involved in research regarding tax evasion and physiological time series prediction. Dr. Hemberg received his PhD in Computer Science from University College Dublin, Ireland.
  • Una-May O’Reilly, PhD is founder of the AnyScale Learning For All (ALFA) group. She has expertise in big data, scalable machine learning, evolutionary algorithms, and frameworks for large-scale, automated knowledge mining, prediction and analytics. She educates the forthcoming generation of data scientists, teaching them how develop state of art techniques that address the challenges spanning data integration to knowledge extraction.
MITRE Corp Team
  • Geoffrey Warner, PhD is a lead information systems engineer at the MITRE Corporation. He received his PhD in theoretical condensed matter physics from the University of Illinois at Urbana-Champaign. His research involves the application of mathematical and computational modeling to a diverse range of problems, from tax evasion to the physics of remote sensing devices.
  • Sanith Wijesinghe, PhD is a principal information systems engineer at the MITRE Corporation. He provides technical and subject matter expertise to assist several tax examination programs run by the US Internal Revenue Service. His research focuses on the use of machine learning algorithms to help identify fraudulent tax filings. Dr. Wijesinghe received his PhD in Aeronautics/Astronautics from the Massachusetts Institute of Technology.
  • Jacob Rosen, S.M. (Technology and Policy program, MIT), 2013-2015: Researcher within the Anyscale Learning For All (ALFA) group, 2015-2016:Modeling and Simulation Engineer in the MITRE Corporation’s Interdisciplinary Modeling Division. Present: Co-Founder & CTO of Deftr.