Pegah Abed Esfahani
About Pegah Abed Esfahani
Pegah Abed Esfahani is a Machine Learning Engineer currently employed at BenchSci in Toronto, Ontario, Canada. She has a background in computer science and engineering, with prior experience as a research analyst and teaching assistant at various institutions.
Current Role at BenchSci
Pegah Abed Esfahani serves as a Machine Learning Engineer at BenchSci, a position she has held since 2021. In this role, she applies her expertise in machine learning to enhance the company's capabilities in scientific research. BenchSci focuses on using technology to improve the efficiency of biomedical research, and Esfahani's contributions are integral to advancing these initiatives.
Previous Experience at CAMH
Prior to her current role, Pegah Abed Esfahani worked as a Research Analyst in Machine Learning at the Centre for Addiction and Mental Health (CAMH) from 2018 to 2021. During her three years at CAMH, she engaged in research projects that utilized machine learning techniques to address complex challenges in mental health and addiction.
Academic Background
Pegah Abed Esfahani completed her Bachelor of Science (B.Sc.) in Computer Hardware Engineering at Shahid Beheshti University from 2012 to 2016. She furthered her education at the University of Toronto, where she earned a Master of Science (M.Sc.) in Computer Science from 2016 to 2018. Her academic journey laid a strong foundation for her career in machine learning and computer engineering.
Teaching Experience
Esfahani has held several teaching assistant positions during her academic career. She worked as a Teaching Assistant at Shahid Beheshti University in 2015 for three months. Additionally, she served as a Graduate Teaching Assistant at the University of Toronto in the Department of Computer Science and the Department of Computer Engineering from 2016 to 2018. These roles involved supporting students and facilitating learning in various computer science courses.
Early Education
Pegah Abed Esfahani completed her secondary education at Farzanegan High School, where she studied Physics and Mathematics from 2008 to 2012. She achieved her diploma during this period, which provided her with a solid grounding in the sciences and mathematics, essential for her future studies and career in engineering and computer science.