Akhil worked on reduced order weather prediction (via neural operators). He is interested in PINNs, L-Conv (Lie Groups), and other parametrized approaches that learn the smallest possible, arbitary resolution network. Usually these nets are promising surrogates or inverters for MCMC (markov-chain-monte-carlo) physics simulations. For fun, he enjoys creating procedural worlds/games, and composing music.