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

• [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.
  
  

• [September, 2025] Our paper "Towards Causal Understanding of Urban Air Pollution: Mechanistic Models under Sparse Sensing" was accepted at CauScien (NeruIPS), 2025!
   

• [September, 2025] Our paper "BEACON: Bayesian Contrastive Learning for Single-Cell Gene Regulatory Inference" was accepted at AI4D3 (NeurIPS), 2025!
  
  

• [August, 2025] Our paper "Modeling Economic Viability for Scalable AI Deployment in Emerging Regions" was accepted at PACMI (SOSP), 2025!
  
  

• [August, 2025] Our paper "Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks" was selected for the ACM Showcase!