Ling Li
Quantitative Trader
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolLing Li is a quantitative trader with 18 years of experience building systematic multi-strategy trading systems across US and China futures and equities. With advanced degrees from Caltech and early research experience, she blends rigorous quantitative modeling, machine learning, and production C++/Python engineering to move models from research into low-latency execution. Her career spans top-tier prop trading at D. E. Shaw to founding a tech startup and driving trading at Flow Asset Management, reflecting both institutional and entrepreneurial instincts. She also contributes to open-source tooling—improving a java-to-Python translation library with back-end development and comprehensive test automation—highlighting a knack for reliability and cross-language interoperability. Based in Bellevue, WA, Ling combines deep math and ML expertise with pragmatic software craftsmanship to deliver robust, research-driven trading alpha.
18 years of coding experience
12 years of employment as a software developer
California Institute of TechnologyB.Eng., M.Eng., B.Eng., M.Eng. at Tsinghua University
Stackoverflow
545reputation
293kreached
10answers
1question
Github Skills (15)
javas10
python10
java10
junit9
unit-test9
unit-testing9
test-driven-design8
code-generation7
gedit6
markdown6
stdout6
latex6
math6
restructuredtext6
subprocess6
Programming languages (2)
Github contributions (5)
natural/java2python
Sep 2007 - Oct 2007
Simple but effective library to translate Java source code to Python.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:17 commits in 7 days
Contributions summary:Ling primarily contributed to the development and testing of the `java2python` library. Their work focused on adding test cases to ensure correct translation of Java code to Python, including complex scenarios like assignment expressions, switch statements, and class members. They also made changes to the test configuration and core logic, ensuring compatibility with both Python's `unittest` and JUnit 3.8 frameworks. The user's contributions improved the reliability and coverage of the code translation process.
pythontranslationeffectiveobjectmapperjava-source
upctanker/moodle-mod-programming
Mar 2010 - Jan 2011
Contributions:48 commits in 10 months
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