Summary
Sean Law is a Principal Data Scientist and R&D director with over 20 years of cross-disciplinary experience melding mathematics, computer science, and scientific research to deliver production-ready AI and analytics at scale. He architects cost-effective cloud analytics, invents novel time-series change-detection techniques, and has driven enterprise AI strategy and mentorship across firms like TD Ameritrade and Charles Schwab. An active open-source creator, he built and contributed core functionality to STUMPY—a widely used Python library for scalable time-series analysis with GPU and distributed support—and has a granted patent from his recommendation engine work. Sean pairs academic rigor (PhD-level biophysics/computational chemistry) with practical wins—multi-million dollar forecasting savings, 10x speedups on analytics pipelines, and a track record of turning research prototypes into production. He’s known for challenging assumptions, reinstating the scientific method in data science, and translating complex models into business impact.
11 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc), Applied Mathematics, Biochemistry, and Biology, Bachelor of Science (BSc), Applied Mathematics, Biochemistry, and Biology at York University
PhD, Biophysics, Computational Chemistry, Biochemistry, and Molecular Biology, PhD, Biophysics, Computational Chemistry, Biochemistry, and Molecular Biology at Michigan State University
Chinese, French, English