Arghavan Modiri
About Arghavan Modiri
Arghavan Modiri is an NLP Research Scientist at Thomson Reuters in Toronto, Ontario, Canada, with a strong background in Electrical and Computer Engineering and Computer Science. She has experience in developing systems for behavioral change and personalized recommendations, focusing on machine learning and human-computer interaction design.
Work at Thomson Reuters
Arghavan Modiri has been employed as an NLP Research Scientist at Thomson Reuters since 2021. In this role, she focuses on natural language processing, contributing to the development of systems that enhance the understanding and generation of human language. Her work is based in Toronto, Ontario, Canada, where she applies her expertise to create innovative solutions that address complex challenges in the field.
Education and Expertise
Arghavan Modiri holds a Master of Applied Science in Electrical and Computer Engineering from Queen's University, completed from 2012 to 2015. She furthered her education by obtaining a Master of Science in Computer Science from the University of Toronto between 2019 and 2021. Her academic background provides a strong foundation in data analysis and interpretation, which she leverages in her research and development efforts.
Background
Arghavan Modiri began her academic journey at the University of Tehran, where she earned a Bachelor of Applied Science in Electrical, Electronics, and Communications Engineering from 2008 to 2012. Her professional experience includes roles as a QA Software Developer at Sandvine from 2015 to 2018, and as a Research Assistant at both the University of Toronto and Queen's University. This diverse background has equipped her with a comprehensive understanding of both theoretical and practical aspects of engineering and computer science.
Professional Experience
Before her current position, Arghavan Modiri worked as a Research Assistant in the Department of Computer Science at the University of Toronto from 2018 to 2021. She also served as a Network Analyst at Bell for seven months in 2014. These roles allowed her to develop systems and tools aimed at facilitating positive behavioral changes and providing personalized recommendations under uncertain conditions, showcasing her focus on the intersection of machine learning and human-computer interaction design.
Achievements
Throughout her career, Arghavan Modiri has developed systems and tools that aim to influence positive behavioral changes in individuals. Her work emphasizes personalized recommendations and addresses real-life challenges through innovative solutions. Her expertise in data analysis and interpretation has been instrumental in her contributions to the field of natural language processing and machine learning.