I'm currently at Worldcoin working on
machine learning, biometrics, and infrastructure.
I previously studied Robotics at Carnegie Mellon
where I explored
in the space of Reinforcement Learning, Interpretability, and Visualization.
In the past I've spent time:
→ Working in collaboration with Uber ATG on training self driving
cars using reinforcement learning.
→ At Scale AI building computer vision models to assist humans doing
→ At Microsoft Research hacking on systems and algorithm
applications for large networks.
→ At Caltech/JPL exploring questions at the interface of atmospheric physics,
radiative transfer theory, and geoscience.
Even before that, I was part of a small team that built a data
science pipeline to process data for the world's largest sub-GHz
I occasionally write
, and love thinking about
science, math, computing, economics, politics, art, design