Ardavan Oskooi
Research Scientist Manager at Meta
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolArdavan Oskooi is a research scientist manager and software engineer with a decade of experience building and shipping advanced electromagnetic simulation tools for photonics and nanotechnology. He founded and led an NSF-backed startup (Simpetus) to commercialize next‑generation electromagnetic CAD, authored the open-source FDTD package MEEP used widely in academia and industry, and holds a PhD from MIT. Ardavan has transitioned between research and product teams at X, Google AR, and now Meta, blending deep numerical algorithm development (including low-level gradient and MPI work in meep) with applied device design for photovoltaics and OLEDs. He is a prolific publisher and inventor with multiple patents and a technical book, and is driven by a consistent vision to accelerate discovery through simulation-driven design.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Materials Science and Engineering, Doctor of Philosophy (Ph.D.) Materials Science and Engineering at Massachusetts Institute of TechnologyBachelor’s Degree Engineeering Science, Bachelor’s Degree Engineeering Science at University of Toronto
Github Skills (11)
mathematical10
c-language10
cprogramming-language10
modeling10
numerical-methods9
message-passing9
mpi9
numerical-computing7
algebra7
numerics7
numerical-analysis7
Programming languages (6)
Github contributions (5)
NanoComp/meep
Jul 2016 - Jan 2023
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:262 reviews, 458 commits, 679 PRs in 6 years 7 months
Contributions summary:Ardavan's commits primarily involve adding and modifying source code related to mathematical functions within the `mympi` and `meep` libraries. Specifically, the user added float versions of functions within `mympi` and implemented functions for computing the gradient of the permittivity tensor within the `meep` library. This indicates a focus on implementing and improving numerical algorithms for electromagnetic simulations.
electromagneticfdtdfinite-differencesimulationssimulation
NanoComp/photonics-opt-testbed
Mar 2022 - Jan 2023
testbed problems for photonics optimization
Contributions:5 reviews, 16 commits, 13 PRs in 9 months
problemsoptimizationphotonicstestbed
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