Tyler Chen

I’m an Applied Research Lead on the quantum-inspired and randomized algorithms team within JPMorgan Chase’s Global Technology Applied Research division. Broadly, my research aims design and analyze fast (in theory and practice) randomized algorithms for core linear algebra tasks.

I was previously a Courant Instructor at New York University (sponsored by Chris Musco) and did my PhD in Applied Math from the University of Washington (advised by Anne Greenbaum and Tom Trogdon). Even earlier, I was an undergrad at Tufts University, where I studied math, physics, and studio art.

An overview of my research interests along with more detailed introductions to particular directions can be found here as well as by following the links on papers listed below. Code to generate the figures from my papers can be found on Github. Please feel free to contact me with any questions about my research.

I am happy with “they” or “he” as pronouns.

Key Info

Other

Materials from my past applications and proposals can be found here.