Theo Diamandis
Research Scientist at Gridmatic
United States
Summary
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Top SchoolTheo Diamandis is a research scientist with eight years of experience at the intersection of academia, industry, and venture-backed research, currently building applied research at Gridmatic. He completed a PhD in EECS at MIT after MS/BS degrees from Stanford, and has blended deep technical work in convex optimization and Julia (julia.mit.edu, convex.csail.mit.edu) with hands-on roles in finance and crypto as a Research Partner at Bain Capital Crypto and fellowships at Meritech. His background spans wireless systems, radar engineering, and signal processing from Stanford to practical, product-oriented research in private equity and startup settings. Theo is comfortable translating rigorous theory into deployable systems and brings a rare mix of academic depth, industry pragmatism, and domain breadth across ML, optimization, and systems. An under-the-radar detail: he has toggled between advising venture teams and contributing to research software ecosystems, signaling both technical leadership and real-world impact.
7 years of coding experience
Doctor of Philosophy - PhD EECS, Doctor of Philosophy - PhD EECS at Massachusetts Institute of TechnologyMaster of Science - MS Electrical Engineering, Master of Science - MS Electrical Engineering at Stanford University
Github Skills (23)
solver10
convex-optimization10
convex10
mathematical-programming9
mixed-integer-programming9
describe9
optimization9
julia9
abstraction8
mathematical8
abstraction-layer8
decomposition8
mathematical-optimization7
sparse7
sdp6
Programming languages (4)
Github contributions (5)
tjdiamandis/Chordal.jl
Feb 2021 - Mar 2022
Contributions:211 commits, 17 PRs, 38 pushes in 1 year
bcc-research/CFMMRouter.jl
Mar 2022 - Jan 2023
Convex optimization for fun and profit. (Now in Julia!)
Contributions:10 reviews, 22 commits, 7 PRs in 9 months
convex-optimizationoptimizationfor-funconvexprofit
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