Xi Lin
Incoming Visiting Research Intern at City University of Hong Kong
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolXi Lin is an incoming visiting research intern at City University of Hong Kong and an M.A. candidate in Statistics at Columbia University with nine years of analytical experience spanning finance and research. He has built predictive models and multi-factor stock selection systems using PCA, SVM, R and MATLAB during an investment strategy internship, and is actively deepening his data science toolkit through extensive MOOCs from Stanford, Johns Hopkins, Caltech and MIT. Based in New York, he combines practical data engineering and statistical modeling skills with academic rigor, often "lurking" advanced courses to synthesize techniques across disciplines. Curious and self-driven, he blends hands-on implementation experience with a disciplined study habit that keeps him current on machine learning and data science methods.
10 years of coding experience
M.A Candidate, Statistics, M.A Candidate, Statistics at Columbia University in the City of New YorkBachelor of Science (BS), Information Management and Information System, Bachelor of Science (BS), Information Management and Information System at South China University of Technology
Github Skills (2)
multi-task-learning9
combinatorial-optimization3
Programming languages (1)
Github contributions (5)
Xi-L/ParetoMTL
Oct 2019 - Jan 2020
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
Contributions:14 commits, 13 pushes, 1 branch in 2 months
multi-task-learning
Xi-L/CPL
Jun 2023 - Dec 2025
Code for ICML2023 Paper: Continuation Path Learning for Homotopy Optimization
Contributions:4 pushes, 1 branch in 2 years 7 months
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