Chi Kang Pai
Hello, I’m Chi (Chi-Kang Pai), a researcher in the Department of Chemistry & Chemical Biology at Harvard University. In The Yu Lab, working with Prof. Kun-Hsing Yu, I develop AI-driven pathology imaging models and agents to predict gene mutations, interpret biomarkers, and optimize patient-enrollment workflows in clinical studies.
I earned a B.S. in Electrical Engineering from National Taiwan University, where I focused on photonics, signal processing, and machine learning. I studied reinforcement learning with Shao-Hua Sun, physics-informed ML and optics with Guoyang Li, and photonics and microscopy with Shih-Wei Chu.
Beyond science, I’m interested in how businesses work and create impact. I joined McKinsey’s scholar program and completed BCG’s course Strategy Consulting: Approach and Practice.
Software Engineering
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Heptabase: At this YC–backed startup founded by cool founders, I teamed up with a strong technical and design group to build interactive mind-mapping features. Felt the genuine excitement of users (myself included!) has inspired me to craft experiences that people truly love.
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Microsoft: Contributed to the front end of AI Studio and strengthened cross-team communication. Met wonderful mentors.
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CMoney: Developed HR tools that automated candidate screening and enabled HR to access complex data intuitively; collaborated with frontend, PM, and HR teams; established a solid foundation in software-engineering best practices.
In high school, I won a gold medal at the IPhO 2017. During university, I taught physics, organized training camps, and conducted physics research. After illness in my family, I pivoted toward building technologies with real-world impact, especially those that accelerate biomedical discovery.
Outside the lab, I enjoy movies, listening to jazz, entomology, traveling, reading, and writing.