Anthony Degleris
Research Scientist at Gridmatic
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolAnthony Degleris is a research scientist and Stanford-trained electrical engineer with nine years of experience applying optimization, machine learning, and economic-energy modeling to real-world problems. Currently at Gridmatic after a PhD focused on signal processing and systems, he blends rigorous academic research with hands-on optimization work for energy systems and neuroscience applications. His background includes internships at Facebook and data analytics roles, reflecting comfort moving between large-scale software engineering and quantitative research. Based in Palo Alto, he is adept at turning complex mathematical models into deployable solutions that bridge markets, grids, and neural data—an unusual combination that lets him translate theory into operational impact.
9 years of coding experience
5 years of employment as a software developer
High School, High School at State College Area High SchoolDoctor of Philosophy - PhD Electrical Engineering, Doctor of Philosophy - PhD Electrical Engineering at Stanford University
Github Skills (27)
process-model10
mixed-models9
factorization9
sequential9
spike8
matrix-factorization8
solver8
trains8
journal8
matrix7
julia7
open-access7
creative-commons6
convex6
python6
Programming languages (4)
Github contributions (5)
lindermanlab/PPSeq.jl
Dec 2020 - Mar 2022
Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
Contributions:5 commits, 11 PRs, 3 pushes in 1 year 3 months
process-modeltrainsmachine-learningdimensionalpoint
degleris1/zap
Oct 2024 - Mar 2025
Differentiable electricity dispatch
Contributions:1 release, 6 reviews, 13 PRs in 5 months
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