Anubha Mahajan

Anubha Mahajan

Hi! I'm a second-year Computer Science Master's student at Stanford, advised by Chelsea Finn.

My research interests lie in reinforcement learning, particularly how agents can learn from their own experience and from richer forms of human feedback to act capably and reliably in the real world.

Previously, I completed my B.S. in computer science at Georgia Tech, where I was advised by Cassie Mitchell and Patrick Kastner. During my undergrad, I was fortunate to spend a summer as an NSF REU fellow at the University of Maryland, advised by David Mount. After graduating, I spent a summer as a research intern at EPFL, advised by Maryam Kamgarpour.

In my free time, I play rugby, practice classical Indian dance, and play piano. I also love watching musicals, reading fiction, and eating desserts.

Email / CV / Scholar / GitHub / LinkedIn

Recent News

Nov 2026	Our paper on Freeform Preference Learning for Robotic Manipulation was presented at CoRL 2026 in Austin, Texas!
Sep 2026	Our paper on Freeform Preference Learning for Robotic Manipulation was featured on the RoboPapers podcast!
Summer 2026	Selected for the Elite Summer School in Robotics and Entrepreneurship at the University of Southern Denmark, 1 of 25 graduate students from the US!
Jan 2026	Our paper on CervSpineNet: A Hybrid Deep Learning-Based Approach for the Segmentation of Cervical Spinous Processes is published in Frontiers in Bioengineering and Biotechnology!
Sep 2025	Started my M.S. in Computer Science at Stanford, working on robot learning in the IRIS Lab.
May 2025	Graduated from Georgia Tech with a B.S. in Computer Science.
Mar 2025	Selected for the EPFL Excellence in Engineering (E3) summer research program at the Sycamore Lab!
Mar 2025	Our paper on Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support was presented at the AAAI 2025 CMASDL Workshop!
Nov 2024	Selected for Georgia Tech's President's Undergraduate Research Award (PURA)!
Mar 2024	Selected for the NSF REU CAAR program at the University of Maryland!

Publications

Highlighted papers are ones I led or co-led. * denotes equal contribution.

	What Your Policy Cannot See: Robot Data Curation via Observability Estimation Tian Gao, Zhengxu Yan, Anubha Mahajan, Rohan Tan Bhowmik, Joey Hejna, Dorsa Sadigh, Chelsea Finn In submission
	Freeform Preference Learning for Robotic Manipulation Marcel Torne, Anubha Mahajan, Abhijnya Bhat, Chelsea Finn Conference on Robot Learning (CoRL)*, 2026 project page / arXiv
	CervSpineNet: A Hybrid Deep Learning-Based Approach for the Segmentation of Cervical Spinous Processes Jay Sunil Sawant, Lama Moukheiber, Anupama Nair, Anubha Mahajan, Jaehui Byun, Ishwarya Pichaimani, Sangwook T. Yoon, Christopher T. Martin, Cassie S. Mitchell Frontiers in Bioengineering and Biotechnology, 2025 paper
	Comparative Analysis of Multi-Agent Reinforcement Learning Policies for Crop Planning Decision Support Anubha Mahajan, Shreya Hegde, Ethan Shay, Daniel Wu, Aviva Prins AAAI 2025 Workshop on Cooperative Multi-Agent Systems Decision-Making and Learning (CMASDL) arXiv

Research Experience

	IRIS Lab, Stanford University Advisor: Chelsea Finn Graduate Research Assistant, 2025 – present
	Sycamore Lab, EPFL Advisor: Maryam Kamgarpour Excellence in Engineering (E3) Research Intern, 2025
	Pathology Dynamics Lab, Georgia Tech Advisor: Cassie Mitchell Undergraduate Research Assistant, 2023 – 2025
	Sustainable Urban Systems Lab, Georgia Tech Advisor: Patrick Kastner Undergraduate Research Assistant, 2024 – 2025
	NSF REU CAAR, University of Maryland Advisor: David Mount NSF REU Fellow, 2024

Teaching

	Graduate TA, Machine Learning with Graphs, Fall 2026 Graduate TA, Deep Reinforcement Learning, Spring 2026
	Undergraduate TA, Design & Analysis of Algorithms, Fall 2023, Spring 2024, Fall 2024 Undergraduate TA, Intro to Object-Oriented Programming, Spring 2023 Peer-Led Undergraduate Study (PLUS) Leader, Intro to Linear Algebra, Fall 2022

This guy makes a nice webpage.