About Me
Hi! I’m a third year CS PhD student in Stanford Theory Group, where I’m advised by the spectacular duo of Tselil Schramm and Nima Anari.
My interests broadly lie at the intersection of probability and theoretical computer science. Recently, I’ve been thinking about Markov chains, spin glasses, random constraint satisfaction problems and average-case complexity.
Prior to grad school, I was a Pre-Doctoral Researcher at Google DeepMind India. Before that, I was a dazed and confused undergrad at IIT Kanpur, where I double majored in Electrical Engineering and Math.
Selected and Recent Papers
-
Averaged Annealed Markov Chains Achieve the Algorithmic Threshold for Tensor PCA, Part II: Langevin Dynamics with Tselil Schramm PreprintPaper
-
Averaged Annealed Markov Chains Achieve the Algorithmic Threshold for Tensor PCA, Part I: Glauber Dynamics with Tselil Schramm PreprintPaper
-
Parallel Sampling from the Ising p-Spin Model with Nima Anari and Alireza Haqi RANDOM'26Paper
-
Provably Fast Finite-Particle Variants of SVGD via Virtual Particle Stochastic Approximation with Dheeraj Nagaraj NeurIPS'23SpotlightPaper
Oral Presentation at OTML Workshop, NeurIPS 2023
-
Utilising the CLT Structure in Stochastic Gradient based Sampling : Improved Analysis and Faster Algorithms with Dheeraj Nagaraj and Anant Raj COLT'23Paper
-
Near Optimal Heteroscedastic Regression with Symbiotic Learning with Dheeraj Baby, Dheeraj Nagaraj and Praneeth Netrapalli COLT'23Paper
Talks
-
Reaching the Algorithmic Threshold for Tensor PCA via Local Markov Chains
Stanford Theory Seminar; UC San Diego Theory Seminar · Nov 2026 -
Linear Time Streaming Algorithms for Heavy Tailed Statistics
MSR-IISc Theory Seminar · Aug 2024
Slides Video -
Sampling Through the Lens of Optimization: Recent Advances and Insights
MSR-IISc Theory Seminar · Nov 2023; EPFL FLAIR Seminar · Mar 2024
Slides Video