Jonathan Mei

I develop quantum computing algorithms for AI and machine learning. In my previous lives, among other things, I've worked on:

• researching large machine learning models and their scaling behavior to inform supercomputing hardware architecture design
• making photorealistic holograms from light fields using a combination of geometric computer vision, deep learning, and classical image processing
• interpretable machine learning via sparse graph signal processing
• virtual reality controllers for standalone headsets using low-cost, low-power sensors
• computational 3D imaging based on time-of-flight of light

I received my Ph.D. from Carnegie Mellon University in the Electrical & Computer Engineering department in 2018. I was advised by Prof. José M.F. Moura. I received my B.S. and M.Eng. degrees in Electrical Science and Engineering from Massachusetts Institute of Technology in 2013. I was advised by Vivek K. Goyal.

I program computers that use fancy physics to make robots. I also used to work on other things like:

• studying artificial intelligence on a new type of supercomputer that uses lasers to communicate way faster than electricity
• creating beautiful 3D videos and pictures by describing how cameras capture light, a sprinkle of black magic, and instagram filters
• crazy connected computer models that can be easily explained to people
• 3D video game controllers for virtual reality that were cheap but good
• measuring how far away things are using the time it takes for light to hit things and bounce back to the camera

I got a fancy piece of paper saying I did a lot of hard math and science from a good school in 2018. I was helped along by Prof. José M.F. Moura. Before that, I got some other fancy pieces of paper saying I was ready to get a job doing hard math and that I had started to do some science, this time from a different good school in 2013. There, I was helped along by Vivek K. Goyal.