Tanushree Burman 🤖

Tanushree Burman

Ph.D. Candidate in Computer Science

Tufts University

About Me

I am a Ph.D. candidate in the Computer Science department at Tufts University. I work at the Multimodal Learning, Interaction, and Perception Lab by Associate Professor Jivko Sinapov. I’ve also worked as a Research Assistant at the Tufts Center for Engineering Education and Outreach.

My research integrates artificial intelligence, human-centered design and educational robotics. My current research focuses on human in the loop reinforcement learning and exploring user preferences of feedback modalities that can be used to improve reinforcement learning agent performance.

During my undergraduate education at Yale University, I worked with Dr. Kim Blenman in the Blenman Innovation Group and with Professor Julian Jara-Ettinger in the Computational Social Cognition Lab. I also spent two summers as an AI/ML engineer intern at the Lockheed Martin AI Center.

Education

Ph.D. Computer Science

2022 - 2028

Tufts University

M.S. Computer Science

2022 - 2025

Tufts University

B.S. Electrical Engineering and Computer Science

2018 - 2022

Yale University

Interests

Human in the Loop Reinforcement Learning Human-Robot Interaction Educational Robotics
Peer-Reviewed Conference Papers
(2025). Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students. AAAI, 39(28), 29128-29136.
(2025). Balancing Act: Mastering Beam-and-Ball Control with Reinforcement Learning. Robotics in Education. RiE 2025. Lecture Notes in Networks and Systems, 1544.
(2024). Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning Agents. ICAPS, 34, 532-540.
Peer-Reviewed Journal Articles
(2022). Prediction of Death after Terminal Extubation, the Machine Learning Way. JACS, 235, S95-S96.