Sung Chung
VP, Quantitative Researcher
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolSung Chung is a VP of Quantitative Research at BlackRock with 11 years of experience building systematic strategies that aim to generate alpha for institutional portfolios. He blends a strong academic foundation (MS in Computer Science from Stanford; dual BS in Electrical Engineering and Physics from UPenn) with deep hands-on engineering roots from roles at Microsoft, eBay, and Alpine Data Labs. Sung’s career spans production cloud systems, search and vision research, and applied machine learning—skills he now applies to knowledge discovery and signal generation in systematic equity. Known for translating research into robust, production-ready strategies, he brings both rigorous quantitative thinking and software engineering discipline to investment problems. Based in San Francisco, he pairs large-firm execution experience with a curiosity for cross-domain techniques that turn novel data into tradable insights.
11 years of coding experience
11 years of employment as a software developer
BS - Dual Degrees, Electrical Engineering and Physics, BS - Dual Degrees, Electrical Engineering and Physics at University of PennsylvaniaMS, Computer Science, MS, Computer Science at Stanford University
Stackoverflow
13reputation
371reached
0answers
2questions
Github Skills (43)
python10
r10
java10
sql10
spark9
large-scale9
scala9
jdbc9
big-data9
data-processing9
scale9
apache8
hadoop8
analytics8
apache-spark8
Programming languages (3)
Github contributions (5)
AlpineNow/SparkML2
Aug 2014 - Nov 2015
Contributions:78 commits, 2 PRs, 109 pushes in 1 year 3 months
AlpineNow/CustomPlugins
Oct 2015 - Oct 2015
Contributions:1 commit, 1 PR, 1 push in 1 day
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