I am currently as a research engineer at Corpy.
My research interests lie at the intersection of machine learning and computational neuroscience. My focus is two-fold:
- Developing new methods for analyzing and interpreting neural datasets.
- Drawing inspiration from biological brains to design novel architectures and methods
More broadly, I am interested in using machine learning as a tool to elucidate the mechanisms that drive biological and artificial intelligence. For this, I believe modern paradigms such as self-supervised learning, multi-modal learning, and continual learning could offer invaluable insight into the mechanisms of learning.
Apart from my research, I am a core maintainer for Torchmetrics and a core contributor for PyTorch Lightning Bolts.
I previously worked at the Computational Vascular Biomechanics Lab as a PhD pre-candadiate in Biomedical Engineering at the University of Michigan, Ann Arbor. Before that, I completed my MS in Mechanical Engineering at the University of Minnesota, Twin Cities where I researched the computational phenotyping of thoracic aortic aneurysms in the Barocas Lab. I received my BS in Mechanical and Biomedical Engineering from Worcester Polytechnic Institute.