About Me

I am a PhD candidate in Computer Science at Courant Institute of Mathematical Sciences, New York University, advised by Professor Lakshminarayanan Subramanian. 

I completed my Bachelor's in Technology in Computer Science and Engineering from Indian Institute of Technology, Kanpur in 2019, after which, I worked as an Associate ML Scientist at Wadhwani AI in Mumbai for 2 years.

My research interests can be summarized as building Physical AI for large-scale, distributed, infrastructural systems. I am driven by the goal of building AI systems that address real-world challenges and create meaningful impact. A central theme of my work is integrating physics-based principles with data-driven methods to develop robust, domain-consistent models.

Recent Highlights

• [April, 2026] Our paper "A Replication-Testing Framework for Single-Cell Gene Regulatory Edge Rankings" got accepted at RECOMB - Genetics, 2026 for an oral presentation!
  
  

• [March, 2026]  Our paper "Domain Faithfulness through Counterfactually Robust Learning" got accepted at CLeaR, 2026!
  
  

• [December, 2025]  I was granted AAAI Student Travel Scholarship! I will be attending AAAI in Singapore from Jan 20 to Jan 27, 2026.
  
  

• [December, 2025] I attended NeurIPS, 2025 in San Diego to present our work on Causal Understanding of Air Pollution and Gene Regulatory Inference!
  
  

• [November, 2025] Our paper "Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks" was accepted at AAAI-AISI, 2026 for Oral Presentation!
  
  

• [October, 2025] I passed my Thesis proposal on Mechanistic AI Systems for Complex Urban Processes! Thanks to Professors Lerrel Pinto, Edwin Gerber, Anirudh Sivaraman, and Lakshmi Subramanian for serving in the committee.