Artem Vysogorets
Machine Learning Researcher at Morgan Stanley
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArtem Vysogorets is a Machine Learning Researcher with nine years of experience bridging deep learning theory and practical, production-grade ML systems. He holds a Ph.D. in Data Science from NYU and has applied his research on loss landscape geometry, model/data compression, and multi-task learning to biomedical problems and trading systems. At Morgan Stanley he develops ML solutions that inform trading and automate banking workflows, and at Rockefeller University he integrated deep models for RNA structure, genomics, and Alzheimer’s research. His background spans academia and industry internships (Bloomberg, IBM, Samsung) where he delivered reproducible benchmarks, efficient active learning protocols, and simulator-driven robotics models. Known for turning theoretical insights into efficient implementations, he combines strong mathematical training (summa cum laude in Mathematics) with a knack for interdisciplinary collaboration.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Data Science, Doctor of Philosophy - PhD, Data Science at New York UniversityBachelor's degree, Mathematics, Summa Cum Laude, Bachelor's degree, Mathematics, Summa Cum Laude at University of Massachusetts Amherst
Russian, English
Github Skills (23)
python8
chatgpt7
typescript7
ai7
openai6
anthropic6
gemini6
generative-ai6
open-source6
llm6
langchain6
testing4
gpt4
pydantic4
acl2
Programming languages (3)
Github contributions (5)
avysogorets/riemann-zeta
Oct 2018 - Sep 2022
Contributions:22 pushes, 1 branch in 4 years
avysogorets/website
Dec 2023 - Dec 2025
Source code for my personal website artem.vysogorets.org
Contributions:1 PR, 103 pushes in 2 years
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