Chris McKinnon

Chris McKinnon is an accomplished individual with a strong academic background and professional experience in aerospace engineering, machine learning, and robotics.

He holds a Doctor of Philosophy (Ph.D.) degree in Aerospace, Aeronautical and Astronautical Engineering, a Master's degree in Aerospace Science and Engineering, and a degree in Engineering Science with a focus on Aerospace, all from the University of Toronto.

Chris has worked as a Machine Learning and Robotics Engineer at Applanix Corporation, demonstrating his expertise in applying advanced technologies to real-world problems.

Prior to that, he gained valuable experience as a PhD student at the University of Toronto, where he developed his research skills and knowledge in the field of aerospace engineering.

He also served as a Summer Research Assistant at Queen's University and Queen's University Alternative Assets Fund, where he further honed his research abilities.

In addition, Chris has experience as a Mining Analyst at ESG Solutions, showcasing his versatility in different technical roles.

Furthermore, he has served as an Assistant Coach at Cutting Edge Fencing, highlighting his leadership and mentorship capabilities.

Chris McKinnon's diverse background in academia and industry equips him with a unique skill set for tackling complex challenges in the fields of aerospace engineering, machine learning, and robotics.