Alec Hammond
Research Scientist at Meta
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolAlec Hammond is a research scientist with eight years of multidisciplinary experience bridging integrated photonics, quantum communications, electromagnetics, DSP, and RF/analog design. Currently developing large-scale simulation and design algorithms for next-generation AR/VR at Meta, he brings deep academic rigor from a PhD program at Georgia Tech and a track record of building labs and leading teams at BYU. Alec has practical impact in both industry and open source—contributing core medium-evaluation functionality to the widely used Meep FDTD code—and has driven patentable innovations during silicon photonics internships. Known for combining hands-on hardware prototyping with computational methods (including deep learning for photonic simulation), he excels at turning complex physics into scalable design tools. Colocated in Redmond, he is pursuing continued education to stay at the cutting edge of photonics and quantum receiver development.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Electronics Engineering, Doctor of Philosophy - PhD, Electrical and Electronics Engineering at Georgia Institute of TechnologyMaster of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Brigham Young University
English, Spanish
Github Skills (4)
numpy10
python10
unit-testing9
documentation8
Programming languages (11)
Github contributions (5)
NanoComp/meep
May 2019 - Sep 2022
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:140 reviews, 62 commits, 60 PRs in 3 years 4 months
Contributions summary:Alec implemented and refined the Python implementation for medium evaluations, which is a core component of the finite-difference time-domain (FDTD) software for electromagnetic simulations. Their work included enabling full Chi1 tensor support, streamlining computations with broadcasting, and adding associated tests and documentation. The user also fixed bugs, updated documentation, and made material fixes that improved the overall quality and functionality of the software.
electromagneticfdtdfinite-differencesimulationssimulation
smartalecH/meep_adjoint_simple
Dec 2019 - Apr 2020
Simple, straightforward adjoint variable method for meep, derived from Homer Reid's package.
Contributions:25 commits, 2 PRs, 37 pushes in 3 months
adjoint-variablemethodderivedmeephomer
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