Summary
Jiangtang Hu is a Director of Machine Learning with 14 years of cross-disciplinary experience bridging economics, software engineering, statistics, and financial mathematics. He leads ML efforts within Fidelity’s Advanced Technology for Investment Management, bringing a rare blend of clinical-trial analytics, life-sciences consulting, and enterprise data-privacy R&D to financial ML problems. Equally comfortable in production engineering and statistical modeling, he has progressed from SAS programming and software internships to architecting big-data ML solutions at scale. Jiangtang holds advanced degrees from Johns Hopkins, NC State, and Peking University, reflecting a continual deepening of quantitative rigor alongside practical engineering. A thinker who relishes complex crossroads, he thrives on turning interdisciplinary insight into robust, production-ready analytic systems.
14 years of coding experience
2 years of employment as a software developer
Bachelor of Arts Economics, Bachelor of Arts Economics at Beijing Technology and Business University
Master's degree Mathematics and Statistics, Master's degree Mathematics and Statistics at North Carolina State University
Johns Hopkins University
Master of Engineering - MEng Software Engineering, Master of Engineering - MEng Software Engineering at Peking University
Chinese, English