Una-May O'Reilly, Ph.D.
Principal Research Scientist
AnyScale Learning For All (ALFA) Group, Leader
MIT Computer Science and Artificial Intelligence Laboratory
email: unamay "at" csail dot mit dot edu
office: D534 Stata Center, MIT
Una-May O'Reilly leads the AnyScale Learning For All (ALFA) Group. ALFA educates the forthcoming generation of data scientists, teaching them how to address the challenges spanning data integration to knowledge extraction. She has expertise in scalable machine learning, evolutionary algorithms, and frameworks for large scale knowledge mining, prediction and analytics. ALFA has contributed the building blocks founding open MOOC analytics. It also generates and mines feature repositories, using agile and scalable machine learning to pinpoint features and prediction parameters.
The author of over 100 academic papers, in 2013 Una-May received the EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe. She is a Young/Jr Fellow of the International Society of Genetic and Evolutionary Computation, now ACM SigEVO. She is the area editor for Data Analytics and Knowledge Discovery for Genetic Programming and Evolvable Machines (Kluwer), and editor for Evolutionary Computation (MIT Press), and action editor for the Journal of Machine Learning Research. Una-May has a patent for an original genetic algorithm technique applicable to internet-based name suggestions. She holds a B.Sc. from the University of Calgary, and a M.C.S. and Ph.D. (1995) from Carleton University, Ottawa, Canada.
See the ALFA Group website for more information.
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