I am a postdoctoral researcher at the Korteweg-De Vries Institute for Mathematics (KdVI), University of Amsterdam working with Joris Mooij. I am also a member of the Mercury Machine Learning Lab, a collaboration between University of Amsterdam, Delft University of Technology and Booking.com. I graduated from the School of Electrical and Computer Engineering at Cornell University, where I was jointly advised by Aaron Wagner and Jayadev Acharya. In a past life, I was a BTech and MTech student in Electrical Engineering from Indian Institute of Technology, Madras and was fortunate to be advised by Andrew Thangaraj.

Research Interests

I am broadly interested in fundamental problems in causal inference, statistics and machine learning. Recent specific interests include statistical aspects of causal hypothesis testing with applications for reasoning about fairness and leveraging interventional data for causal discovery. During my PhD, I devoted a significant amount of time in understanding how stochastically-trained, artificial-neural-network-based (ANN-based) compressors perform well on multimedia sources.

News

• [Jul ‘25] I had a great time at UAI 2025. Congratulations to all attendees and organizers for making it a success.
• [May ‘25] I talked about my recent work on causal fairness at the Amsterdam Causality Meeting
• [May ‘25] Our paper on a causal fairness analysis of the Berkeley data was accepted to UAI 2025. Come find me at UAI for a chat about it!
• [May ‘25] I had a great time at CLeaR 2025. Congratulations to all the attendees and organizers for making it a success.

Service

Program Committee:

• Publication Chair - CLeaR 2024, 2025

Reviewing:

• Conferences - AAAI, AISTATS, DCC, ICLR, ICML, ISIT, ITW, NeurIPS, UAI.
• Journals - Journal of Causal Inference (JCI)