Roger Girgis
About Roger Girgis
Roger Girgis is a Research ML Engineer currently employed at Torc Robotics and a Doctoral Student at Mila - Quebec Artificial Intelligence Institute. He has a diverse background in engineering and research, with degrees from multiple institutions and experience at several notable companies.
Work at Torc Robotics
Roger Girgis currently serves as a Research ML Engineer at Torc Robotics, a position he has held since 2023. His role involves applying machine learning techniques to enhance robotic systems. The company focuses on developing autonomous vehicle technology, and Girgis contributes to research initiatives aimed at improving AI capabilities in this field.
Education and Expertise
Roger Girgis has a strong educational background in engineering and computer science. He earned a Doctor of Philosophy (PhD) in Computer Software Engineering from Polytechnique Montréal, where he studied from 2019 to 2023. Prior to this, he completed a Master’s Degree in Electrical and Computer Engineering at McGill University from 2016 to 2019. He also holds a Bachelor's Degree in Mechanical Engineering from Concordia University, obtained from 2011 to 2014, and a DEC in Science from CEGEP - John Abbott College, completed in 2010.
Background in Engineering and Research
Roger Girgis has diverse experience in engineering and research roles. He worked at Intempco Controls Ltd as a Production Engineer for nine months in 2013. He later transitioned to a Sales Engineer position at the same company from 2014 to 2016, and served as a Product Specialist for the Pressure Sensor Line from 2016 to 2017. His research experience includes internships at Samsung Advanced Institute of Technology in 2018 and Ubisoft Montréal in 2021, as well as a research internship at Algolux from 2022 to 2023.
Research Experience at Mila
Since 2019, Roger Girgis has been a Doctoral Student at Mila - Quebec Artificial Intelligence Institute. His work at Mila focuses on advancing artificial intelligence research, contributing to the development of innovative solutions in machine learning. This position complements his role at Torc Robotics, where he applies his research findings to practical applications in robotics.