Sanketh Vedula

I’m a postdoctoral research associate at Princeton University, working with Guillermo Sapiro and Olga Troyanskaya, and an Eric and Wendy Schmidt Postdoctoral Fellow at the Broad Institute of MIT and Harvard.

I develop measurement-grounded AI for biology and health: methods that combine learned priors with physical measurement models to infer latent biological states, quantify uncertainty, and design new experiments and measurement devices. My recent work spans structural biology, machine learning for health, computational imaging, and statistical methods for uncertainty quantification.

I received my PhD in Computer Science from Technion in 2025, advised by Alex Bronstein. Before that, I earned an M.Sc. (cum laude) in Computer Science from Technion in 2020, and a B.Eng. (Hons.) in Computer Science from BITS Pilani in 2017. In 2024–25, I was a visiting scientist at IST Austria, hosted by Alex Bronstein and Paul Schanda.

Outside academia, I was a founding team member and an ML Researcher at Sibylla from 2020–23, building algorithmic trading strategies. In 2024, I spent 8 months as an ML Research Scientist intern at Pfizer R&D in Berlin, working on problems in pharmaceutical chemistry and structural biology.

Across academia and industry, I aspire to build solutions for challenging problems that have real-world impact. I love science. I enjoy doing research, learning, and discussing ideas with people. If you’d like to collaborate or just chat about research, feel free to reach out.