Sanjeev Raja

I’m a final-year Computer Science PhD student at Berkeley AI Research (BAIR) advised by Aditi Krishnapriyan. I was a research intern at Valence Labs in Montreal from June - December 2025.

My interests lie at the intersection of machine learning and atomistic modeling. Using techniques such as generative models and machine learning interatomic potentials, I’m interested in understanding how ML can help us solve longstanding challenges like efficient long timescale molecular dynamics simulation, rare event sampling, generalization to new thermodynamic conditions, and bridging the gap between simulation and experiment.

In the past, I worked on ML for accelerating climate simulations. I worked with Jaideep Pathak and Anima Anandkumar on FourCastNet, which was a state-of-the-art weather prediction model at the time.

I love Carnatic music, and I am a semi-professional mridangam player. I developed a Carnatic raga classifier capable of identifying 150 common Carnatic scales. I also enjoy tennis, and particularly Roger Federer. It is regrettable that no machine learning breakthrough will ever reverse the result of the 2019 Wimbledon Final.