Fattane Zarrinkalam
About Fattane Zarrinkalam
Fattane Zarrinkalam is a Machine Learning and Natural Language Processing Research Scientist at Thomson Reuters in Ontario, Canada. She holds a PhD in Computer Engineering from Ferdowsi University of Mashhad and has previously worked as an Assistant Professor at Dalhousie University and as a researcher at Ryerson University.
Work at Thomson Reuters
Fattane Zarrinkalam has been employed at Thomson Reuters as a Machine Learning and Natural Language Processing (ML/NLP) Research Scientist since 2020. In this role, Zarrinkalam contributes to the development and implementation of advanced algorithms and models that enhance the company's data processing capabilities. The position is based in Ontario, Canada, where Zarrinkalam applies expertise in machine learning to support various projects within the organization.
Education and Expertise
Fattane Zarrinkalam holds multiple degrees in Computer Engineering from Ferdowsi University of Mashhad. Zarrinkalam completed a Bachelor's degree from 2005 to 2009, followed by a Master's degree from 2009 to 2011. Zarrinkalam further pursued academic excellence by obtaining a Doctor of Philosophy (PhD) in Computer Engineering from 2013 to 2018. This educational background provides a strong foundation in both theoretical and practical aspects of machine learning and natural language processing.
Previous Academic Positions
Before joining Thomson Reuters, Fattane Zarrinkalam held a position as an Assistant Professor at Dalhousie University for a brief period in 2020. This role lasted for two months and was located in Halifax, Nova Scotia, Canada. Additionally, Zarrinkalam worked as a Researcher at Ryerson University Research and Innovation from 2015 to 2018, where contributions were made to various research initiatives in the field of computer engineering.
High School Education
Fattane Zarrinkalam completed high school at Farzanegan from 2001 to 2005, where a focus on Mathematics was emphasized. This foundational education laid the groundwork for further studies in computer engineering and advanced research in machine learning and natural language processing.