About
I do "full-stack" mathematical optimization: modeling real-world phenomena, developing algorithms, writing software, and proving what I did was a good idea (or at least not a bad one). I've worked on applications in fields ranging from silicon photonic design to real-time resource allocation to financial order routing. Check out my Research and Github for more.
I believe optimization-based modeling is an increasingly powerful tool for design and decision making, fueled by an open-source software ecosystem.
I also believe that many PhDs should think beyond the lab. We need to construct new, parallel structures that enable academics to turn research into technologies and products.
I completed my PhD in EECS at MIT, where I worked in the Julia Lab. My thesis focused on large-scale optimization in networked systems. During my PhD, I also worked on market design problems at Bain Capital Crypto. Before my PhD, I built internal tools for sourcing and diligence at Meritech Capital. I completed my BS and MS 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.
Contact
I'm most responsive via email (tdiamandis@alumni.stanford.edu).