Summary
Gian Alix is a research-focused software engineer with nine years of experience and an MSc in Computer Science from York University, where he researches trajectory data mining, spatiotemporal models, dynamic graphs, and machine learning. He combines academic rigor—publishing in top venues and peer-reviewing—with hands-on system-building, from a web prototype for infection-risk-aware route planning to preprocessing massive spectral datasets for martian rock analysis. As a long-time TA he also brings strong pedagogy, mentoring students in algorithms, big data systems, and visualization. Notably, his work reduced modeling error substantially via ensemble methods and resulted in publications in Wiley Chemometrics and IEEE/ACM venues, reflecting an ability to translate theory into measurable gains. Based in Toronto, he pairs strong quantitative foundations with practical data engineering and prototype development skills useful for research-driven product teams.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at York University