Scholar
Rohan Alur
Google Scholar ID: MFi8ptoAAAAJ
PhD Student at MIT
Citations & Impact
Citations
111
H-index
5
i10-index
3
Publications
7
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers including 'The Impossibility of Inverse Permutation Learning in Transformer Models', 'Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework', and more. Received multiple awards, such as an oral presentation at the Neural Information Processing Systems (top ~0.5% of submissions).
Research Experience
- Worked for four years at Bridgewater Associates, where he spent the latter half of his tenure working closely with Jasjeet Sekhon as part of Bridgewater's budding machine learning research group.
Education
- PhD candidate in the EECS department at MIT, advised by Manish Raghavan and Devavrat Shah; B.S.E. and M.S.E. from The University of Pennsylvania.
Background
- Broadly interested in problems at the intersection of machine learning and economics, with a particular focus on causal inference, human/AI collaboration, and policy learning.
Miscellany
- Volunteer mentor for the EECS Graduate Application Assistance Program (GAAP), which helps coach applicants through the PhD admissions process.
