A new Stein Fellow for 2024

Andrew Ilyas will join our community of Fellows at the start of the fall quarter. Andrew has completed a lengthy career at MIT — undergraduate, graduate, and PhD — and hopes to teach on topics of deep learning, general machine learning, algorithms, causal inference, optimization, and more. To date his research has aimed at developing a precise understanding of the machine learning pipeline, characterizing the roles of deployment environments, learning algorithms, and especially training data in shaping the performance of ML models. Looking forward, he will work to uncover robust general principles for building predictable, reliable ML that will enable analysts who use it to be confident in the validity and robustness of their results.