Sebastian Schott
PHD Student at Yale University
New Haven, Connecticut, United States
Summary
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Senior🎓
Top SchoolSebastian Schott is a PhD student at Yale with eight years of engineering and research experience bridging reinforcement learning, robotics, and efficient computing. His work focuses on using RL ideas to improve large-language-model-guided robotic planning, informed by prior systems-level projects such as implementing stack unwinding and panic recovery for the Rust OS Hopter. He has built high-performance numerical tooling—authoring a C++ library to generate correctly rounded polynomial approximations for low-precision math functions—and applied ML to practical problems from clinical data classification to automated lead outreach. Comfortable across C++, Rust, Python, Go and HPC workflows, he combines deep algorithmic thinking with hands-on systems optimization. Based in New Haven, he brings a mix of academic rigor and product-minded engineering that uncovers practical efficiency gains not obvious from theory alone.
8 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Hopkins SchoolBachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Yale University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (2)
react3
react-native2
Programming languages (1)
Github contributions (5)
dgauraang/vape-classification
Nov 2020 - May 2021
Contributions:57 commits, 61 pushes in 6 months
sschott20/sschott20-MLTrading
Apr 2020 - May 2023
Contributions:18 pushes, 1 branch in 3 years 2 months
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