Steven Kinio, PhD
About Steven Kinio, PhD
Steven Kinio, PhD, is a Principal R&D Engineer at Boston Scientific with a strong background in robotics, control, automation, and computer vision. He has extensive experience in biomedical research and has previously worked at Baylis Medical and the University of Toronto.
Company
Steven Kinio, PhD, is currently employed at Boston Scientific as a Principal R&D Engineer. The company is based in Mississauga, Ontario, Canada, and specializes in the development and manufacturing of medical devices. Steven leverages his expertise in biomedical research to contribute to the company's innovative projects.
Previous Positions
Steven Kinio has extensive experience in the R&D field. His previous roles include serving as a Senior R&D Engineer at Baylis Medical from 2020 to 2024. He also held positions as Staff R&D Engineer from 2018 to 2020, and R&D Engineer II in 2018, all at Baylis Medical in Mississauga, Ontario. Prior to these roles, Steven was involved in academia and industry, holding positions such as a Course Instructor and Graduate Teaching Assistant at the University of Toronto, and Systems Engineering Co-op at Thales Canada.
Education and Expertise
Steven Kinio holds a Ph.D. in Mechanical and Industrial Engineering from the University of Toronto, completed from 2013 to 2017. His doctoral research focused on microfluidics, cell separation, and microelectrodes. He also holds a Master of Applied Science in Electrical Engineering and a Bachelor of Engineering in Electrical and Biomedical Engineering from McMaster University. Steven's academic background has equipped him with expertise in robotics, control, automation, and computer vision.
Professional Background
Steven Kinio's professional background spans both industry and academia. At McMaster University, he served as a Graduate Teaching Assistant and Undergraduate Research Assistant. He also gained industry experience as a Systems Engineering Co-op at Thales Canada in 2008 and 2009. His diverse roles have given him a strong foundation in linear optimization and linear control, which are critical skills in his current R&D work.