Summary
Arghavan Modiri is an NLP research scientist with eight years of experience applying machine learning and HCI principles to real-world problems, currently advancing NLP research at Thomson Reuters. She has a strong engineering background in Python, Matlab, SQL, C/C++ and a track record of deploying Bayesian and bandit-based models to drive measurable behavior change—e.g., increasing step counts of diabetic patients by 10% through an mHealth intervention. Her experience spans academia and industry, from research roles at University of Toronto to network and QA engineering in telecoms, giving her a practical edge in productionizing models on large datasets. Based in Old Toronto, she combines statistical rigor with product-minded design to build personalized recommendation and intervention systems under uncertainty. Notably, she bridges theory and deployment, having collaborated with UC Berkeley medical teams and commercial partners to translate research into measurable user outcomes.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Toronto
Master of Applied Science - MASc, Electrical and Computer Engineering, Master of Applied Science - MASc, Electrical and Computer Engineering at Queen's University
Bachelor of Applied Science - BASc, Electrical, Electronics and Communications Engineering, Bachelor of Applied Science - BASc, Electrical, Electronics and Communications Engineering at University of Tehran