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Background

Applied Data Scientist and AI/ML Engineer specializing in healthcare and large-scale structured data systems. Experienced in building end-to-end data pipelines, machine learning models, and simulation frameworks to support decision-making in clinical and operational environments. Strong background in data wrangling, statistical modeling, and AI systems (including transformer-based and agentic workflows), with a focus on translating complex datasets into deployable, user-facing solutions. Experienced in communicating technical findings to non-technical stakeholders through reports, visualizations, and presentations in technical, clinical and policy-facing environments. Experienced in developing simulation and scenario-based models to support healthcare system capacity planning and policy evaluation, and working with real-world healthcare data to support system-level planning and decision-making. Focused on building usable models that inform real-world healthcare decisions. 

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Education

Ph.D in Physics
Simon Fraser University, 2015 – April 2021
Thesis: “Modelling engineering artificial burnt-bridge ratchet molecular motors”
Supervisor: Dr. Nancy Forde, Committee: Drs. David Sivak & Martin Zuckermann

B.Sc. (Hons) Physics
McMaster University, 2011-2015
Thesis: “Kinetics of Lamellar Formation on Chevron Directing Fields”
Supervisor: Dr. An-Chang Shi


Banner caption: Artist representation of our spherical rolling motors. Art credit: Hassan A. Tahini from sciencebrush.design