Una-May O'Reilly

Una-MayO'Reilly

Una-May O'Reilly is the leader of ALFA Group at MIT-CSAIL. ALFA focuses on scalable machine learning, evolutionary algorithms, and frameworks for large-scale knowledge mining, prediction and analytics. ALFA conducts research in artificial adversarial intelligence related to cybersecurity, MOOC data analytics, and data-driven medical modeling. Una-May has expertise in agile data science systems with rapid intelligent data analytics capabilities. These systems span organization and visualization of raw data through to machine learning inference. 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.

Una-May is recognized by ACM SIG-EVO for her significant contributions having been elected a Fellow of ISGEC. She has served as Vice-Chair of ACM SIG-EVO and has served as chair of the largest international Evolutionary Computation Conference, GECCO. She has served on the GECCO business committee, co-led the 2006 and 2009 Genetic Programming: Theory to Practice Workshops and co-chaired EuroGP, the largest conference devoted to Genetic Programming. In 2013, Una-May co-inaugurated the Women in Evolutionary Computation group at GECCO. She received the EvoStar Award for Outstanding Achievements in Evolutionary Computation in Europe in 2013. In 2018, Una-May was recognized by Nature Research journals for outstanding contributions in peer review. Recently, ACM SIG-EVO elected Una-May for Career Recognition for Scientific Merit.

Una-May is an 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 serves in an advisory role on the Oakridge National Lab Directorate Advisory Committee.

Research group: https://alfagroup.csail.mit.edu/

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