Behzad Shayegh
About Behzad Shayegh
Behzad Shayegh is a Mitacs Research Intern currently working at Borealis AI in Toronto, Ontario. He has a background in computer science and engineering, with experience in various research and teaching roles at institutions in Canada and Iran.
Current Role at Borealis AI
Behzad Shayegh is currently employed as a Mitacs Research Intern at Borealis AI in Toronto, Ontario, Canada. He has been in this role since 2023, contributing to various research initiatives within the organization. His work focuses on advancing artificial intelligence methodologies.
Previous Experience in Research and Teaching
Behzad Shayegh has held several positions in research and teaching. He worked as a Graduate Teaching Assistant at the University of Alberta from 2022 to 2023 for seven months. He also served as a Research Mentor at the Computing Research Association for three months in 2023. His experience includes roles at the Alberta Machine Intelligence Institute (Amii) and various teaching assistant positions at the University of Tehran.
Educational Background in Computer Science
Behzad Shayegh studied Computer Science at the University of Alberta, where he is pursuing a Master of Science degree from 2022 to 2024. He previously earned a Bachelor of Science in Computer Engineering from the University of Tehran, completing his studies from 2017 to 2022. He also achieved a Minor Bachelor of Science during his time at the University of Tehran.
Research Interests and Contributions
Behzad Shayegh is interested in proposing new evaluation metrics that require minimal annotated data for various tasks. His research focuses on developing unsupervised learning approaches and transferring knowledge from high-resource to low-resource languages. He has published a paper titled 'Ensemble Distillation for Unsupervised Constituency Parsing' at the International Conference on Learning Representations (ICLR) in 2024.
Professional Experience in Data Science
In addition to his research roles, Behzad Shayegh has experience as a Data Scientist at Divar in 2022, where he worked for five months. He also served as a Research Intern at Ashianeh from 2019 to 2021 for two years, gaining valuable insights into data analysis and machine learning applications.