Chris Larson
Adjunct Professor at Georgetown University
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolChris Larson is an Adjunct Professor and versatile software engineer with ~9–10 years of experience at the intersection of applied ML, systems, and robotics, holding a PhD in Mechanical Engineering with a CS minor from Cornell. He excels in early-stage product development where algorithms, architecture, and product packaging converge, and has worn roles from applied scientist to engineering manager and lead ML engineer across industry and academia. His work spans NLP/NLU, distributed cloud infrastructure, AR/VR, tactile perception for robotics, and applied mechanics, with peer-reviewed publications in Science, Soft Robotics, and Advanced Materials. Based in Washington, DC, he teaches graduate ML/NLP courses at Georgetown while translating research-grade sensor and perception systems into production-ready software. Notably, his doctoral work built tactile perception hardware/software that bridged immersive computing and robotics, demonstrating both experimental rigor and systems engineering chops.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Arts - BA, Bachelor of Arts - BA at Coe CollegeDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Cornell University
Github Skills (27)
transformers10
pytorch10
language-model10
python10
machine-learning10
deep-learning10
tensorflow10
bert10
natural-language-processing10
transformer10
speech-recognition10
nlp10
seq2seq9
jax9
flax8
Programming languages (6)
Github contributions (5)
chrislarson1/virtex
Jan 2021 - May 2021
Serving for computational workloads
Contributions:7 releases, 63 commits, 18 PRs in 3 months
servingworkloadsc-plus-pluscomputational-sciencehpc
chrislarson1/MVEE
Dec 2017 - Jan 2019
Contributions:25 commits, 24 pushes, 1 branch in 1 year
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