James Hawley is a Senior Data Scientist and computational biologist with 11 years of experience applying mathematics, statistics, and software to cancer genomics and epigenetics. He holds a PhD from the University of Toronto (Lupien Lab) and a Bachelor of Mathematics in Mathematical Physics from the University of Waterloo, and has progressed through data science and computational biology roles at Roche since 2021. James blends rigorous quantitative modelling and software engineering—from DNA-protein binding tools and NGS post-processing frameworks to secure distributed systems—to translate complex biological data into actionable insights. He has led large student research teams (iGEM) and cross-disciplinary projects, demonstrating both technical depth and mentorship. Based in Toronto, he is comfortable bridging academia and industry to deliver reproducible, statistically sound solutions for precision oncology.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology at University of Toronto
Bachelor of Mathematics Mathematical Physics Pure Mathematics Minor, Bachelor of Mathematics Mathematical Physics Pure Mathematics Minor at University of Waterloo
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