Arghavan Modiri

Arghavan Modiri

Graduate Student

University of Toronto

Biography

I am a passionate researcher in the domains of machine learning and statistical inference. I enjoy both theory and applications of machine learning spanning the subjects of health, Bayesian statistics, and multi-armed bandits. I use machine learning algorithms and statistical analysis to solve real-world problems; for a list of my recent projects please refer to my project list.

In October 2018, I joined the Intelligent Adaptive Interventions (IAI) group advised by Professor Joseph Jay Williams and in September 2019 I became a graduate student at the University of Toronto. This gave me the opportunity to combine Human-Computer Interaction (HCI) with Machine Learning to improve people’s lives. Prior to this, I worked as a software engineer in Sandvine Inc.

If I am not working, you probably find me playing music or soccer, practicing Yoga, listening to audio-books or spending time with my friends and family. I love to step outside of my comfort zone and challenge myself with new ideas and experiences. To me, everyday brings a new opportunity for learning something new, it just needs the courage and passion to reach and grasp it.

Interests
  • Artificial Intelligence
  • Computational Linguistics
  • Information Retrieval
Education
  • MSc in Computer Science

    University of Toronto

  • MASc in Electrical and Computer Engineering

    Queen's University

  • BASc in Electrical and Computer Engineering

    University of Tehran

Accomplish­ments

Awarded University of Toronto Fellowship
Won Ontario Graduate Scholarship (OGS) award
Winner of this award for 3 consecutive terms in recognition of outstanding academic achievement.
Won Queen’s Graduate award

Recent Publications

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Daily Motivational Text-messages to Promote Physical Activity in University Students: Results from a Micro-Randomized Trial
mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study

In a three-arm randomized controlled trial, we will examine the effect of a text-messaging smartphone application to encourage physical activity in low-income ethnic minority patients with comorbid diabetes and depression.

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