Shu Liao
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShu Liao is a quantitative researcher in New York with a decade of experience building end-to-end machine learning pipelines and production-ready analytics. With a PhD in Physics and subsequent CS training, Shu blends deep statistical modeling and software engineering—having shipped forecasting models and web apps at Insight Data Science, accelerated numerical libraries in C++ with Python bindings, and production ML features at Amazon before moving to DRW. His background in experimental physics led to a published analysis package (PyCEvNS) and nine papers, reflecting a strong foundation in hypothesis testing and complex data pipelines. Shu is comfortable across the stack—from kernel-optimized C++ and sparse data structures to cloud-deployed Flask/AWS services—and brings a research mindset to trading and applied ML problems. Notably, he has turned large-scale scientific tooling into practical products and performance-focused implementations that improve throughput by an order of magnitude.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of TechnologyBachelor's degree, Physics, Bachelor's degree, Physics at Peking UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Texas A&M University
Stackoverflow
145reputation
23kreached
0answers
2questions
Github Skills (22)
player9
boostrap8
content-editor7
multiprocessing6
macos6
mpv6
python6
numpy6
django6
scipy6
bootstrap6
ace5
django-admin5
pip5
python-markdown5
Programming languages (4)
Github contributions (5)
Ikaroshu/pyCEvNS
Feb 2018 - Oct 2019
python package for CEvNS
Contributions:1 release, 78 commits, 3 PRs in 1 year 8 months
python-3python-packagepythonpip
Ikaroshu/myblog
Apr 2019 - Jun 2020
Contributions:24 pushes, 1 branch in 1 year 2 months
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