Callie Mao
Quantitative Researcher
United States
Summary
👤
Senior🎓
Top SchoolCallie Mao is a quantitative researcher with 11 years of experience applying statistical science and computer science to systematic trading and research. She spent six years at Two Sigma, progressing from intern to researcher, and currently contributes to strategy development and model research at Headlands Technologies. Her background blends rigorous statistical training from Duke with practical experience turning research into production-ready trading signals. Callie is comfortable bridging data science, software engineering, and quantitative modeling to solve noisy, real-world problems. Colleagues describe her as both analytically rigorous and pragmatic, able to prioritize implementable solutions under time pressure. Outside work she favors projects that connect theory to measurable outcomes, reflecting a bias toward impact over novelty.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Statistical Science; Computer Science, Bachelor of Science - BS Statistical Science; Computer Science at Duke University
English, Chinese
Github Skills (7)
ontologies7
digital-humanities6
semantics6
entity6
matrix4
computation2
campus1
Programming languages (2)
Github contributions (5)
calliem/compute-expect
Oct 2015 - Jan 2016
Contributions:6 PRs, 38 pushes, 1 branch in 3 months
computationstatisticalknowledgebase
calliem/phenoscape-kb-ingest
Jan 2016 - May 2016
Contributions:3 PRs, 23 pushes, 1 branch in 4 months
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