Eric Gelphman
Graduate Teaching Fellow
Golden, Colorado, United States
Summary
👤
Senior🎓
Top SchoolEric Gelphman is a Ph.D. candidate in applied mathematics and former EDA software engineer with nine years of cross-disciplinary experience spanning electrical engineering, math, and production-grade C/C++ software for semiconductor verification. He combines research in optimization, deep learning, and numerical PDE/ODE methods with practical industry experience developing and testing Calibre LVS workflows and open-source OpenROAD-based RTL-to-GDSII flows. As a Graduate Teaching Fellow he teaches ODEs and multivariable calculus while mentoring large sections and managing numerical optimization coursework, reflecting strong communication skills alongside technical depth. His background in silicon photonics, RF module programming, and building Python analysis tools for EDA runs gives him a rare blend of hands-on hardware-aware engineering and high-dimensional computational research.
9 years of coding experience
5 years of employment as a software developer
University of California, San DiegoDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Colorado School of Mines
English, Chinese
Github Skills (3)
verilog6
eda5
tcl5
Programming languages (1)
Github contributions (5)
EGelphman97/KrazyGlue
Jan 2017 - Mar 2018
Contributions:113 commits, 111 pushes, 1 branch in 1 year 2 months
EGelphman97/Optical-Filter-Synthesis
Jan 2020 - Mar 2020
Contributions:30 commits, 29 pushes, 1 branch in 2 months
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