Mathematics alumnus Allen Liu ’20, now a first-year graduate student at EECS, was among 12 doctoral candidates to receive the prestigious Hertz Fellowship.
Allen is developing algorithms with provable guarantees for a variety of fundamental learning problems in preference learning, robust statistics, and other areas. Under Ankur Moitra, Liu developed an efficient algorithm that provably learns the parameters of a mixture of Gaussians from samples, even amid adversarial noise.
Congratulations Allen!