Summary
Harvey Wang is a software engineer and researcher with nine years of experience building end-to-end ML and production systems, currently splitting his time between Floqer and research partnerships at the University of South Carolina. He specializes in sequential decision problems under partial observability, non-stationarity, and heterogeneity, and has applied information-geometric tools to neural circuit modeling, genetic diversity quantification, and physics-informed neural networks for battery degradation. As a co-founder and R&D lead he delivered real-time acoustic vessel detection and tracking systems, and previously led ML instruction and graduate research at Dalhousie University. Comfortable from full-stack implementation to research prototyping, he acts as a technical-founder style contributor who quickly turns domain needs into deployable RL solutions. Based in Toronto, he brings a physicist’s quantitative rigor and a climber’s persistence to thorny algorithmic and systems problems.
9 years of coding experience
2 years of employment as a software developer
Master of Computer Science, Master of Computer Science at Dalhousie University
English, traditional mandarin