Stephen Newman

Computer Scientist

Charlottesville, Virginia, United States
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Summary

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Senior
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Top School
Stephen Newman is a computer scientist and Ph.D. student at Princeton with eight years of experience bridging theoretical computer science and mathematical data science. His background combines rigorous training from Yale in mathematics and computer science with hands-on research, including work on the Perfect-Mirsky Conjecture during a William & Mary REU. He has practical exposure to machine learning perception from an industry stint at Matician and a taste for deep, theory-driven problems like evolutionary computation and complexity. Based in Charlottesville, he brings a research-first mindset to applied problems, routinely translating abstract theory into concrete experimental work. Colleagues can expect a thinker who blends formal rigor with curiosity about data-driven methods.
code8 years of coding experience
bookCharlottesville High School
bookCombined Master's/Bachelor's degree, Mathematics (M.S./B.S.), Computer Science (B.S.), Combined Master's/Bachelor's degree, Mathematics (M.S./B.S.), Computer Science (B.S.) at Yale University
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Github Skills (32)

generative-adversarial-network9
simulator9
computer-vision8
cyclegan8
image-manipulation8
robotics8
simulation7
computer-graphics7
deep-learning6
image-translation6
pytorch6
reduction6
translation6
dcgan6
sorting5

Programming languages (3)

C++CPython

Github contributions (5)

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Contributions:2 commits, 1 push, 1 branch in 1 day
Open-source keyboard firmware for Atmel AVR and Arm USB families
Contributions:6 pushes in 1 year 6 months
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