All Research Areas

Faculty

Adam Block Steering Committee Assistant Professor, Computer Science. Research: ML Theory, Optimization, Reinforcement Learning.
Micah Goldblum Steering Committee Assistant Professor, Electrical Engineering. Research: Agents, Deep Learning, ML Theory, Natural Language, Reinforcement Learning.
Daniel Hsu Steering Committee Associate Professor, Computer Science. Research: Deep Learning, ML Theory, Statistical ML.
Shipra Agrawal SEAS Faculty Associate Professor, IEOR. Research: ML Theory, Optimization, Reinforcement Learning.
Alexandr Andoni SEAS Faculty Professor, Computer Science. Research: ML Theory.
Adam Cannon SEAS Faculty Teaching Professor, Computer Science. Research: ML Theory.
Rachel Cummings SEAS Faculty Associate Professor, Industrial Engineering & Operations Research. Research: Bioinformatics, ML Theory, Optimization, Statistical ML.
Arian Maleki Affiliate Faculty Professor, Statistics. Research: Statistical ML, ML Theory.
Toniann Pitassi SEAS Faculty Professor, Computer Science. Research: ML Theory.
Cynthia Rush Affiliate Faculty Associate Professor, Statistics. Research: Statistical ML, ML Theory.
Rocco Servedio SEAS Faculty Professor, Computer Science. Research: ML Theory.
Nakul Verma SEAS Faculty Senior Lecturer, Computer Science. Research: ML Theory, Statistical ML.

Postdoctoral Researchers

Yoonhaeng Hur Postdoctoral Researcher, Statistics. Advised by Genevera Allen. Research: Causality, Explainable AI, ML Theory, Statistical ML.

PhD Students

Priyank Agrawal PhD Student, IEOR. Advised by Shipra Agrawal. Research: Reinforcement Learning, ML Theory.
Mariam Avagyan PhD Student, Electrical Engineering. Advised by John Wright. Research: Optimization, ML Theory.
Noah Bergam PhD Student, Computer Science. Advised by Daniel Hsu, Andrew Blumberg. Research: Deep Learning, ML Theory, Statistical ML.
Judah Goldfeder PhD Student, Computer Science. Advised by Hod Lipson. Research: Agents, Deep Learning, Explainable AI, ML Theory, Reinforcement Learning, Robotics, Vision.
Yizhi Huang PhD Student, Computer Science. Advised by Rocco Servedio, Josh Alman, Tal Malkin. Research: ML Theory.
Baitian Li PhD Student, Computer Science. Advised by Toniann Pitassi, Josh Alman. Research: ML Theory.
Yuhao Li PhD Student, Computer Science. Advised by Rocco Servedio, Xi Chen. Research: ML Theory.
Jingwen Liu PhD Student, Computer Science. Advised by Alexandr Andoni, Daniel Hsu. Research: Deep Learning, ML Theory, Reinforcement Learning.
William Pires PhD Student, Computer Science. Advised by Rocco Servedio, Xi Chen, Toniann Pitassi. Research: ML Theory.
Ved Sriraman PhD Student. Advised by Adam Block. Research: ML Theory, Natural Language, Reinforcement Learning.
Leonardo Felipe Toso PhD Student, Electrical Engineering. Advised by James Anderson. Research: Optimization, ML Theory, Reinforcement Learning.
Tim Wang PhD Student, Electrical Engineering. Advised by John Wright. Research: Optimization, ML Theory.
Nathan Weill PhD Student, IEOR. Advised by Kaizheng Wang. Research: ML Theory, Statistical ML.
Tianqi Yang PhD Student, Computer Science. Advised by Rocco Servedio, Toniann Pitassi, Tal Malkin. Research: ML Theory.
Styopa Zharkov PhD Student, Computer Science. Advised by Alexandr Andoni, Cliff Stein. Research: ML Theory.