About
I am a fourth year Ph.D. student under the supervision of Dr. Subbarao Kambhampati in Yochan Lab at the School of Computing & AI, Arizona State University. I completed my undergraduate studies majoring in Computer Science from Delhi Technological University, India. In the past, I have worked and collaborated with research groups at IIIT, Delhi and IIT, Madras focusing on the topics of Preference-based Reinforcement Learning and Adversarial Machine Learning.
“To live life is to take decisions, and to take decisions is to reason and plan.”
The goal of my research is to understand, model, and develop methods for assisting humans in decision-making tasks. My PhD research focuses on understanding the advantages and limitations of Foundational Models, particularly Large Language Models from a Human-AI Interaction perspective. My current work focuses on the intersection of LLMs and Reinforcement Learning, and how these models can be used to assist humans in decision-making tasks.
News
- [August 2024] I completed my internship at Microsoft Research, Redmond. I worked with the Augmented Learning and Reasoning group on the topic of decision-making problems in Human-AI conversations.
- [May 2024] Our lab’s position paper LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks was accepted at ICML 2024.
- [March 2024] I will be joining the Augmented Learning and Reasoning group at Microsoft Research, Redmond as a Research Intern for Summer 2024.
- [February 2024] I was awarded the ASU School of Computing & AI Doctoral Fellowship for Spring 2024!
- [January 2024] Our work on investigating the Theory of Mind abilities in Large Language Models was accepted at HRI 2024.