Rohan Alur

About

I am a fourth year PhD candidate in the EECS department at MIT, where I'm fortunate to be advised by Manish Raghavan and Devavrat Shah. I am also a Principal Research Scientist at Bridgewater Associates, where I work closely with Chief Scientist Jasjeet Sekhon.

I am broadly interested in small data prediction tasks: settings in which we want to make predictions about the future, but do not have sufficient training data to apply classical statistical learning methods. I have previously worked on methods to incorporate human judgment into algorithmic predictions, and more recently have been thinking about the role of large language models in these settings.

Publications

AIA Forecaster: Technical Report

RA*, Bradly C. Stadie*, Daniel Kang, Ryan Chen, Matt McManus, Michael Rickert, Tyler Lee, Michael Federici, Richard Zhu, Dennis Fogerty, Hayley Williamson, Nina Lozinski, Aaron Linsky, Jasjeet S. Sekhon

Preprint, 2025

The Impossibility of Inverse Permutation Learning in Transformer Models

RA*, Chris Hays*, Manish Raghavan, Devavrat Shah

Preprint, 2025 | Github

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework

RA, Loren Laine, Darrick K. Li, Dennis Shung, Manish Raghavan, Devavrat Shah | Slides | Github | Talk

Preprint, 2024

Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models

Vinith M. Suriyakumar, RA, Ayush Sekhari, Manish Raghavan, Ashia C. Wilson

Preprint, 2024

From Transparency to Accountability and Back: A Discussion of Access and Evidence in AI Auditing

Sarah H. Cen, RA

ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2024

Human Expertise in Algorithmic Prediction

RA, Manish Raghavan, Devavrat Shah 

Neural Information Processing Systems, 2024 | Oral Presentation (top ~0.5% of submissions) | Slides | Github | Talk

Auditing for Human Expertise 

RA, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah, Dennis Shung 

Neural Information Processing Systems, 2023 | Spotlight Paper (top ~3% of submissions) | Slides | Github | Blog Post

The Vascular Landscape of Human Cancer

Benjamin M Kahn, Alfredo Lucas*, RA*, Maximillian D Wengyn, Gregory W Schwartz, Jinyang Li, Kathryn Sun, H Carlo Maurer, Kenneth P Olive, Robert B Faryabi, Ben Z Stanger (* denotes equal contribution)

Journal of Clinical Investigation, 2021