I'm an EECS PhD student at MIT, where I work in the Julia Lab on algorithms for and applications of large-scale optimization. I also enjoy applying tools from convex optimization to research problems in cryptoeconomic systems, including decentralized finance (DeFi). Check out my Research and Github for stuff I'm currently working on.
I'm involved in the Julia Mathematical Programming (JuMP) community and help out with the JuMP-dev workshop. I also help organize the Financial Cryptography DeFi Workshop and The Latest in DeFi Research (TLDR) Conference.
I completed my B.S. and M.S. in electrical engineering at Stanford, where I worked on information theoretic estimators and optimization-based decoders in the Wireless Systems Lab and on signal processing algorithms for radar systems in the Stanford Radio Glaciology Group.
I am grateful to be supported by an NDSEG Fellowship and a Jacobs Family Presidential Fellowship.
I'm most responsive via email (tdiamand@mit.edu) or on the Julia Language slack.