Summary
Fang J is a Senior Data Scientist based in Cleveland with a Ph.D. in theoretical ecology and five years of industry experience, currently driving data initiatives at Huntington National Bank. They blend rigorous mathematical modeling and deep learning expertise developed in academia—where they led interdisciplinary projects that applied CNNs to attribute paintings with up to 96% accuracy—with practical production analytics. Fang has a track record of turning complex, domain-specific problems (ecological dynamics, insect outbreaks, art conservation) into robust algorithmic solutions and publications. Comfortable leading teams and coordinating instructional programs, they pair research-grade methods with clear communication and mentoring experience. An uncommon strength is their ability to adapt ecological modeling techniques to novel applied problems in finance and cultural heritage, surfacing subtle signals across noisy spatial and temporal data.
5 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Ecology, Doctor of Philosophy - PhD, Theoretical Ecology at Case Western Reserve University
English, Chinese, French