Kang Sun
Director Of Data Science
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKang Sun is a Director of Data Science with nine years of post-graduate experience applying computer vision and machine learning to financial problems, currently leading model development and productization at Boosted.ai. He architects distributed ML solutions that let portfolio managers leverage advanced quantitative techniques without coding, translating research-grade algorithms into production platforms. Prior to Boosted.ai he led Bloomberg’s Pattern Recognition team, delivering end-to-end systems from sentiment and topic analytics to market-impact prediction, often moving prototypes in MATLAB/Python/R into high-performance C++. Based in New York, he blends academic rigor from UNC and UIC with practical systems experience, and is known for bridging research and engineering to make sophisticated AI both scalable and user-accessible.
9 years of coding experience
13 years of employment as a software developer
MS Computer Science, MS Computer Science at University of Illinois ChicagoBS Computer Science, BS Computer Science at University of North Carolina at Chapel Hill
Github Skills (6)
oversampling10
sensitivity8
python7
matlab4
octave4
atmospheric-modelling3
Programming languages (2)
Github contributions (5)
Kang-Sun-CfA/Oversampling_matlab
May 2017 - Jan 2023
Physical Oversampling in PYthon
Contributions:4 releases, 4 reviews, 69 commits in 5 years 9 months
pythonoversamplingphysical
Kang-Sun-CfA/Methane
Sep 2017 - Mar 2025
Sensitivity study
Contributions:2 releases, 3 reviews, 5 PRs in 7 years 7 months
sensitivity
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