About Me

I am a fourth-year PhD student 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 lie at the intersection Machine Learning and Sustainability Science. 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 for complex systems.

Recent Highlights

• [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!
  
  

• [July, 2025] I presented our paper "Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks" at ACM COMPASS, 2025 at University of Toronto!
  
  

• [June, 2025] Our paper "Comprehensive Monitoring of Air Pollution Hotspots Using Sparse Sensor Networks" was accepted at ACM JCSS!  Read the full paper here.