Theo Diamandis

I work on enabling abundant, clean energy at Gridmatic. I spend much of my time modeling nodal electricity markets and building automated systems to participate in them.
My background is in "full-stack" mathematical optimization: modeling real-world phenomena, developing algorithms, and writing software. I've previously worked on applications ranging from photonic design to 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, 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 in the Wireless Systems Lab and in the Stanford Radio Glaciology Group.
I'm most responsive via email (tdiamandis@alumni.stanford.edu).