I recently completed my PhD in Machine Learning from Carnegie Mellon University, where I was advised by Ameet Talwalkar. My thesis was on efficient methods for automating machine learning model to make the practice of machine learning easier and more accessible.
Since then, I’ve joined Determined AI as a machine learning engineer to build the leading platform for deep learning, enabling users to be vastly more productive and happier! Post PhD, I continue to be involved in the AutoML community and frequently volunteer as a reviewer for top ML conferences. I also like to stay on top of exciting discoveries in machine learning and diving into areas of ML that I didn’t get to learn more about during my PhD.
|Jan 28, 2021
|Our paper On Data Efficiency of Meta-learning has been accepted to AISTATS!
|Jan 26, 2021
|We had a successful first lunch & learn on object detection with DETR/Deformable DETR!
|Jan 24, 2021
|We will be holding the second workshop on NAS at this year’s ICLR conference!
|Jan 12, 2021
|Our paper on geometry-aware neural architecture search has been accepted to ICLR 2021 and chosen for a spotlight presentation!
|Sep 3, 2020
|I gave a talk on Demystifying NAS in Theory and Practice at the AutoML Summit hosted by AICamp!