Summary
Yinghua Wu is an analytical researcher and quantitative engineer with 11 years of experience applying statistical, computational, and physics-based methods to energy markets, algorithmic trading, and genomics. Currently an analyst focused on power commodities, Yinghua previously led load, price, and congestion modeling at PJM and built production-ready statistical arbitrage systems with multithreading and AWS at a hedge fund. Their background includes designing scalable bioinformatics pipelines that contributed to gene therapy trials (including the FDA‑approved CART‑19) and inventing memory-efficient clustering and N‑mixture models for integrated cell analysis. Trained as a Ph.D. chemical physicist, Yinghua blends rigorous theoretical work in quantum dynamics with practical data engineering—maintaining data warehouses, unit-tested backtests, and high-performance compute pipelines. Colleagues value their ability to translate deep math and physics intuition into robust, production-grade algorithms across domains.
11 years of coding experience
14 years of employment as a software developer
B.S Applied Chemistry, B.S Applied Chemistry at University of Science and Technology of China
Ph.D Chemical Physics Advisor Victor S. Batista, Ph.D Chemical Physics Advisor Victor S. Batista at Yale University
English, Chinese