Jonathan Fisher

Staff Machine Learning Engineer at Cape Analytics

Jonathan Fisher has a diverse work experience spanning various roles and industries. Jonathan began their career in 2005 as a Research Assistant at the University of New Brunswick, where they conducted research and published several papers on computer models for molecules. In 2011 and 2013, they worked as a Sessional Instructor at the University of Toronto, teaching undergraduate courses.

In 2014, Fisher served as a Sessional Instructor at the University of Toronto Scarborough before transitioning to the role of a Postdoctoral Researcher at Universität Hamburg, where they worked until 2016. During this time, they focused on academic research in their field.

From 2016 to 2018, Fisher worked as a Scientific Software Developer at JCNS-MLZ, Forschungszentrum Jülich, contributing to the development of scientific software. Jonathan then re-entered the industry as a machine learning engineer at CAPE Analytics in 2018, where they held multiple roles, including Senior Machine Learning Engineer, Lead Machine Learning Engineer, and Staff Machine Learning Engineer.

In 2021, they joined AI Redefined (AIR) as a Reinforcement Learning Researcher before moving to Mythic in 2022 as a Senior Staff AI Optimization Engineer. In 2023, Fisher returned to CAPE Analytics as a Staff Machine Learning Engineer.

Overall, Jonathan Fisher's work experience showcases their expertise in machine learning, software development, research, and teaching.

Jonathan Fisher's education history begins in 2003 when they attended the University of New Brunswick. Jonathan obtained a Bachelor of Science (honours) degree in Mathematics in 2007. Following this, they enrolled at the University of Toronto in 2007 and completed their Master of Science degree in Mathematics in 2008. Continuing their education at the same institution, Jonathan earned a Doctor of Philosophy (PhD) degree in Mathematics in 2014.

Links

Previous companies

Research Center Julich logo

Org chart