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Ashia Wilson, the Lister Brothers Career Development Professor and associate professor in the Department of Electrical Engineering and Computer Science (EECS), is a recipient of the 2026 Junior Bose Award. The award is given annually to an outstanding contributor to education from among the faculty members who are being proposed for promotion to associate professor without tenure.

Wilson received her PhD from the University of California, Berkeley, in statistics and her BA from Harvard with a concentration in applied mathematics and a minor in philosophy. Before joining MIT, she held a postdoctoral position in the machine learning and statistics group at Microsoft Research.

Wilson’s research centers upon optimization, algorithmic decision making, dynamical systems, and fairness within large scale machine learning. A National Science Foundation Graduate Research Fellow, Wilson has received the NeurIPS ’17 Spotlight Paper Award for The Marginal Value of Adaptive Methods in Machine Learning, and has performed research with Microsoft and Google AI.

Her papers have been published in the Proceedings of the National Academy of Science, in Advances in Neural Information Processing Systems, and in the International Conference of Machine Learning, among others. Additionally, she has served as a reviewer for NeurIPS and the Journal of Machine Learning.