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Jupyter notebooks on concepts from numerical/computational linear algebra. Inspired by Professor Rachel Thomas' class on computational linear algebra.

Jupyter Notebook 99.86% Python 0.14%
numerical-linear-algebra jupyter-notebook linear-algebra pytorch computational-linear-algebra applied-linear-algebra

numerical-linear-algebra's Introduction

Hi there ๐Ÿ‘‹

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:

  1. Developing new methods for analyzing and interpreting neural datasets.
  2. 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.

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