Summary
Jiahong Dong is a Machine Learning Engineer and PhD candidate in Electrical and Computer Engineering at the University of Toronto with 11 years of engineering and teaching experience, now applying ML to engineer tissue-specific gene expression. He blends deep academic research—leading courses and labs across digital systems, control, algorithms, bio-computation, and hardware acceleration—with practical production work, including building cloud-based AWS databases for engine fault data. Currently at EvenUp, he focuses on taking research-grade models toward real-world deployment and scalability. His background in software engineering (MASc) and mechatronics gives him a systems-level perspective that bridges biology, hardware, and cloud software. Colleagues describe him as someone who reliably translates complex theory into usable systems and curriculum.
11 years of coding experience
2 years of employment as a software developer
Master of Applied Science - MASc Software Engineering, Master of Applied Science - MASc Software Engineering at McMaster University
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at University of Toronto
Chinese, English