Summary
Sky Li is a Graduate Student Researcher and software engineer with over a decade of experience and 7+ years of hands-on programming in Java, JavaScript, Python, and MATLAB. Their work bridges machine learning and computational biology—contributing to HIV vaccine design through structural analysis, entropy/covariance methods, and ML feature selection—and extends to digital humanities tooling like dictionary source comparison. At the University of Toronto they combine research with teaching across software design, programming languages, and algorithms, and have industry experience building detection and web systems. Comfortable with TensorFlow, Keras, SciKit-Learn, NumPy/SciPy and Flask, Sky brings a strong theoretical bent in computation and AI that informs practical engineering and interdisciplinary projects.
11 years of coding experience
4 years of employment as a software developer
Acton-Boxborough Regional High School
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Toronto