PHD Student at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Cambridge, Massachusetts, United States
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Summary
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Senior
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Top School
Ching Choi is an MIT EECS PhD student based at CSAIL, co-supervised by Phillip Isola, Antonio Torralba, and Stefanie Jegelka, researching robustness, causal reasoning, and the epistemology of machine learning. With nine years of research experience spanning top labs—Max Planck, Mila, Stanford SAIL, and TUM—she brings deep expertise in robust ML and scene/structural understanding. Her internships at NVIDIA and contributions to labs like Belongie’s and Brendel’s groups reflect a balance of applied systems work and theoretical inquiry. Ching’s trajectory shows a pattern of short, high-impact collaborations across global AI hubs, and she’s particularly focused on how models reason under distributional shift. Praised for bridging empirical rigor with foundational questions, she often explores robustness through both causal lenses and epistemic frameworks.
9 years of coding experience
The Chinese University of Hong Kong (CUHK)
Doctor of Philosophy - PhD, EECS, Doctor of Philosophy - PhD, EECS at Massachusetts Institute of Technology
HKU Academy for the Talented
Sciences domain, Sciences domain at Hong Kong Academy for Gifted Education
Secondary School Diploma, Secondary School Diploma at Diocesan Girls' School
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Ching Choi - PHD Student at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)