Erik Hemberg, PhD is a Post Doctoral researcher in the ALFA group in CSAIL at the Massachusetts Institute of Technology. Dr. Hemberg received his PhD in Computer Science from University College Dublin, Ireland. He co-taught and developed educational technology for EPS101@STU. He has taught and developed Computer Science outreach courses for high school kids at University College Dublin during his time there. Before his PhD he developed eLearning software for micro economic simulations. He performs research regarding scalable machine learning. He is currently involved in research regarding tax evasion and physiological time series prediction.

Una-May O’Reilly, PhD is founder of the AnyScale Learning For All (ALFA) group. She has expertise in evolutionary algorithms, big data, scalable machine learning, and frameworks for large-scale, automated knowledge mining, prediction and analytics. She educates MIT students on state of art techniques that address the challenges spanning data integration to knowledge extraction. Her teaching credits include the annual GECCO introductory tutorial on Genetic Programming , the first tutorial on Genetic Programming in China (2009, Genetic and Evolutionary Computation Summit, Shanghai, China ) and EPS101@STU. She has co-taught active learning modules at MIT’s UPOP IAP “Introduction to Engineering Practice Workshop” and a lab and lecture based MIT course in the School of Engineering entitled: Robotics: Systems and Science.

Nicole Hoffman is a Project Manager for the ALFA group in MIT CSAIL.