Hi, thanks for coming. If you want to know more about me, well, this is where it goes I guess.

Short

I work on and with software at the intersection of deep learning (scientific computing more generally) and cloud computing. I am also a researcher in topics in or around so-called neural differential equations and computational physics and fusion energy. If you are still reading, and find that interesting, please reach out to me

Long

I am currently trying something new by running my own research organization that applies differentiable programming, machine learning, and numerical methods to problems in inertial fusion plasma physics. There is real promise in the synthesis of modern artificial intelligence and classical computational physics. Ergodic LLC exists to better understand that promise.

I am an affiliate research scientist with, and collaborate closely with researchers from, the Laboratory for Laser Energetics at the University of Rochester. I also am an adjunct research professor with the University of Michigan where I guide and collaborate on research on deep learning and differentiable programming for computational plasma physics.

Previously, I have worked at a couple of startups and at big tech where I have built software, performed research, hired and mentored engineers, established processes, participated in leadership meetings, and all the other pieces that go into running organizations.

I have a background in computational plasma physics. As a full-time physicist, I used supercomputers to run monolithic, massively-parallel simulation software and wrote peer-reviewed articles in journals like Nature Communications, Physical Review Letters, and others.

If you are still reading, and also thinking about things like differentiable programming, differential equations, distributed computing, computational physics, cloud computing and economics, open-source software, neural networks, scalable scientific software, please reach out to me

I also like to eat, drink, and spend time with my partner, my family, and my friends.