The lab

RAIL is a small group at William & Mary working at the intersection of machine learning, planning under uncertainty, and public-interest systems. We collaborate closely with students and faculty at Vanderbilt, Cornell, the University of Houston, and George Mason.

Faculty

Ayan Mukhopadhyay

Ayan Mukhopadhyay

Assistant Professor of Computer Science

I work on robust, adaptive, and interpretable decision-making for cyber-physical systems, with applications in emergency response, transportation, energy, public health, and conservation.

Before this, I was a senior research scientist at the Institute for Software Integrated Systems at Vanderbilt University, and before that a postdoctoral research fellow at the Stanford Intelligent Systems Lab at Stanford University, working under Mykel Kochenderfer, where I was awarded the 2019 CARS post-doctoral fellowship by the Center for Automotive Research at Stanford.

Before joining Stanford, I was a PhD student at Vanderbilt University’s Computational Economics Research Lab under Yevgeniy Vorobeychik, working on decision-theoretic and machine-learning approaches to multi-agent planning. My thesis was nominated for the Victor Lesser Distinguished Dissertation Award in 2020.

I am honored to be a Google AI Impact Scholar (2021) for Social Good.

William & Mary

PhD students

Liakot Babu

Liakot Babu

PhD Student, Computer Science

Online planning for transportation.

Jay Li

Jay Li

PhD Student, Computer Science

Decision-making under non-stationarity.

Siqi Lu

Siqi Lu

PhD Student, Computer Science

Explainable planning and decision-making.

Aryan Samantaray

Aryan Samantaray

PhD Student, Computer Science

Multi-agent planning.

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Open position

We are recruiting PhD students for Fall 2027.

William & Mary

Master's & undergraduate researchers

Hellen Nguyen

Hellen Nguyen

Master's Student, Computer Science

Combinatorial optimization.

Service

Thesis committees

PhD students at Vanderbilt University whose dissertation committees I served on.

BLBaiting LuoNon-stationary decision-making, temporal abstraction
RSRishav SenVehicle-to-building integration, neuro-symbolic control

Beyond W&M

Collaborators

Groups we work with regularly, across institutions.

SCOPE Lab

Vanderbilt University · led by Prof. Abhishek Dubey

We collaborate closely with the SCOPE Lab at Vanderbilt. I spent five years there before joining William & Mary, and we continue to work together on multiple projects.

Lab life

Photos

Group photos, conference trips, field visits, and whatever else is worth keeping.

Join us

Prospective PhD students should apply to the William & Mary Computer Science program and mention RAIL in their statement.