Liang Zheng
Executive Director at J.P. Morgan
Singapore
Summary
👤
Senior🎓
Top SchoolLiang Zheng is an executive-level quantitative researcher and leader with 10 years of experience bridging academic research and production algo execution in financial markets. Currently Executive Director at J.P. Morgan in Singapore, he leads QR algo execution modelling after heading APAC QR equities algo execution and several quantitative research roles. His background includes a PhD in computer science and postdoctoral work at Princeton focused on network economics, cloud computing and optimization, informing novel approaches to big data analytics and rumor-source inference. Liang combines machine learning and computer vision interests from academia with practical, low-latency trading systems expertise, translating advanced statistical inference into deployable execution strategies. He is comfortable operating at the interface of theory and practice, turning research on nonlinear optimization and network inference into measurable trading performance. Colleagues note his ability to distill complex models into clear, production-ready solutions that scale across APAC markets.
10 years of coding experience
11 years of employment as a software developer
Visiting student, Department of Electrical Engineering, Visiting student, Department of Electrical Engineering at Princeton UniversityBachelor's degree, Computer Software Engineering, 86/100, Bachelor's degree, Computer Software Engineering, 86/100 at Sichuan UniversityNingbo High SchoolDoctor of Philosophy (Ph.D.), Computer Science, 4.0/4.3, Doctor of Philosophy (Ph.D.), Computer Science, 4.0/4.3 at City University of Hong Kong
English, Chinese
Github Skills (3)
re-identification7
evaluation7
deep-learning4
Programming languages (1)
Github contributions (5)
liangzheng06/PRW-baseline
Apr 2016 - Jun 2017
Contributions:14 commits, 7 PRs, 13 pushes in 1 year 2 months
persondeep-learningdatasetwildre-identification
liangzheng06/MARS-evaluation
Aug 2016 - Jun 2017
Contributions:12 commits, 1 PR, 11 pushes in 10 months
datasetevaluationmars
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