Sanjeev Raja
University of California, Berkeley
I’m a third-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. Recently, I have also been working on deep generative modeling of atomistic conformational ensembles.
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.
news
| Jan 10, 2025 | Check out our paper (accepted at ICLR 2025) on distilling machine learning force field foundation models into fast models specialized for particular subsets of chemical space. |
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| Feb 21, 2024 | Check out our paper (accepted at TMLR) and talk introducing StABlE, a multi-modal approach for training stable machine learning force fields that combines supervision from quantum-mechanical energies/forces and system observables! |
| Aug 24, 2022 | Starting my PhD in Computer Science at UC Berkeley. Excited for the next chapter! |
| Apr 1, 2022 | Check out our preprint on using Adaptive Fourier Neural Operators for global weather forecasting. |