CV
To learn more about my background and experience, click the purple PDF button on the right :)
Basics
| Name | Moka (Mokhwa) Lee |
| Major | PhD in Applied Mathematics and Statistics(AMS) |
| Advanced certificate | Data and Computational Science |
| Research advisor | Yifan Sun (Computer Science) and Joseph Mitchell(AMS) |
| Research interest | Machine Learning, AI, Optimization, Numerical Analysis |
| mokhwa.lee@stonybrook.edu | |
| https://www.linkedin.com/in/moka-lee-45a852191/ |
Work
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Oct 2020 - June 2025 -
Jan 2023 - Aug 2024 Research and Development (R&D) Engineer
Mathematical Modeling and Software Engineering @ Utopia Compression
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Aug 2020 - June 2021 Quantitative Researcher
Convex Optimization in Portfolio and Risk Management @ AlphaCrest Capital Management
Publications
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Oct 26, 2024 NeurIPS OPT2023 (Workshop on Optimization for Machine Learning)
Almost Multisecant Quasi-Newton Method.
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April 10, 2025 Journal of Optimization Theory and Applications (JOTA)
Advancing Multi-Secant Quasi-Newton Methods for General Convex Functions.
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April 04, 2025 IEEE 2024 58th Asilomar Conference on Signals, Systems, and Computers
Almost Multisecant BFGS Quasi-Newton Method.
Languages
| Korean | |
| Native speaker |
| English | |
| Fluent |