Sanjeev Raja

I’m a second-year Computer Science PhD student at Berkeley AI Research (BAIR) advised by Aditi Krishnapriyan.

My interests lie at the intersection of machine learning and the molecular sciences, with a particular focus on developing ML methods to accelerate molecular dynamics simulations. More broadly, I am interested in combining the expressivity of modern deep neural networks with the generalization capabilities of first-principles scientific models to improve scientific computing workflows.

In the past, I worked on ML for climate simulations. I have been a research intern at Lawrence Berkeley National Laboratory, where I worked with Jaideep Pathak and Anima Anandkumar on FourCastNet, which was a state-of-the-art weather prediction model at the time. I also represented my university in ProjectX, an international research competition on ML for climate change solutions, for which we developed adversarial super-resolution methods for global climate simulations.