` Una-May O'Reilly's Webpage
Portrait
Una-May O'Reilly, Ph.D.
Principal Research Scientist
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. She has expertise in 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.

Recent invited talks include:

Una-May is an adviser to Aspiring Minds. Co-founded by her former student Varun Aggarwal, Aspiring Minds brings data driven assessment to various aspects of education, training and employment. She advises PatternEx, a Silicon Valley security company preventing data breaches by using AI to extract behavioral patterns from big data. Her most recent research with students has resulted in two patents that have spun out startups: Cardinal Wind, co-founded by Teasha Feldman-Fitzthum and DataSight, co-founded by Will Drevo. A third patent arose from serving as VP Engineering at Icosystem which provides predictive modeling using complexity science. The Stealth project has also generated IP.

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. 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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