Ayush Sawarni
About Me
I am a second-year Operations Research PhD student at Stanford University. I am advised by Prof. Vasilis Syrgkanis and am part of the Stanford Causal AI Lab.
Before starting my PhD, I was a Research Fellow at Microsoft Research India, where I worked with Gaurav Sinha on problems related to online learning with large decision sets.
Prior to that, I spent two amazing years as an MTech research student at the Indian Institute of Science (IISc) Bangalore, where I was advised by Prof. Siddharth Barman and had the opportunity to collaborate with Prof. Arindam Khan. I worked on problems related to Multi-armed Bandits, Fairness, and Causal Inference.
Earlier in my career, I worked at Goldman Sachs Bangalore, where I built scalable analytics for fraud detection. I received my undergraduate degree in Electrical and Electronics Engineering from BITS Pilani.
Research Interests
- ML & Statistics: statistical estimation theory, efficiency, and robustness
- Causal Inference: methodology and applications, identification & estimation
- Online Learning & Bandits: algorithms with provable guarantees and data-adaptive exploration
- GenAI Evaluation: formal evaluation frameworks and principled benchmarks