• Ronak Mehta
  • Math-ier Machine Learning
  • ronakrm @ the big G's mail
I've completed my dissertation and am starting work on some cool stuff! Find me at at the typical monoliths:


My dissertation research focused on methods for efficiently identifying important subsets of features, parameters, and samples in modern ML settings. Current and future interests for me revolve around applying some of these ideas to interpretability and safety, and more broadly exploring issues around alignment.

For a take-away, check out my Résumé/CV.

Recent News

  • I'm beginning work at a new startup working on memory augmentation, stay tuned for more info!
  • I travelled to Rhodes for ICASSP 2023 to present our work on Robust Blind Deconvolution via Mirror Descent.
  • I presented our work on Discrete Optimal Transport (top 25%!) in Kigali, Rwanda at ICLR 2023.
  • I participated in a one-month Interpretability Experiment at Redwood Research.