Assistant Professor Of Actuarial Science at University of Toronto
Old Toronto, Ontario, Canada
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Christopher Blier-wong is an Assistant Professor of Actuarial Science with eight years of academic and research experience focused on bridging P&C insurance with big data and machine learning. He holds a PhD in actuarial science and dual MS degrees in AI and actuarial science from Université Laval, where he developed applied ML solutions for unstructured insurance data (text, images, spatial, telematics). His recent postdoctoral work on selective inference with e-values signals a strong interest in rigorous, uncertainty-aware methods for data-driven decision making. Based in Toronto, he combines teaching, research, and practical collaboration with industry to translate advanced data science into actuarial practice. Colleagues know him for pairing deep theoretical grounding with hands-on experimentation in emerging data modalities for insurance.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Actuarial Science, Doctor of Philosophy - PhD, Actuarial Science at Université Laval
DEC- Pure and applied sciences, Sciences, DEC- Pure and applied sciences, Sciences at CEGEP Champlain St. Lawrence
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Christopher Blier-wong - Assistant Professor Of Actuarial Science at University of Toronto