Connor Mcclellan is the CEO and co-founder of DARPA- and YC-backed DeepSim, building AI-driven physics simulation tools informed by his eight years of research and startup experience. A Stanford PhD alumnus in electrical engineering, he led pioneering work on 2D materials and novel steep-switching nanoelectronic devices, including the first demonstration of vertical 2D material growth. Connor bridges deep device physics and machine learning—having explored ML for EDA at Cadence—translating academic breakthroughs into product-focused simulation software. He maintains the 2d.stanford.edu benchmarking resource and has authored multiple peer-reviewed publications, reflecting a commitment to open scientific tooling and reproducible research. Based in Mountain View, he combines scientific rigor with founder grit to push semiconductor innovation into deployable software.
8 years of coding experience
8 years of employment as a software developer
Bachelor's, Electrical and Computer Engineering, Bachelor's, Electrical and Computer Engineering at The University of Texas at Austin
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Stanford University
Contributions:64 pushes, 1 branch in 1 year 5 months
pythonunits
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Connor Mcclellan - CEO Co-Founder at DeepSim, Inc.