Katie Ferguson
About Katie Ferguson
Katie Ferguson is a Postdoctoral Researcher at Yale University, specializing in Applied Mathematics and Computational Neuroscience. She completed her education at the University of Waterloo and the University of Toronto, earning a Bachelor's, Master's, and Ph.D. in related fields.
Work at Yale University
Katie Ferguson has been employed as a Postdoctoral Researcher at Yale University since 2015. In this role, she engages in advanced research in her field, contributing to the academic community in New Haven, CT. Her work focuses on areas related to applied mathematics and computational neuroscience, reflecting her extensive educational background.
Education and Expertise
Katie Ferguson holds a Bachelor's of Mathematics (Honors) with a Minor in Psychology from the University of Waterloo. She furthered her education by obtaining a Master's of Mathematics, specializing in Applied Mathematics and Computational Neuroscience, from the same institution. She completed her Doctor of Philosophy (Ph.D.) in Computational Neuroscience at the University of Toronto and Toronto Western Research Institute, where she studied from 2009 to 2015.
Background
Katie Ferguson's academic journey began at the University of Waterloo, where she earned her undergraduate degree. She then pursued a Master's degree at the same university, focusing on applied mathematics and computational neuroscience. Following her master's studies, she advanced to the University of Toronto for her doctoral studies, where she specialized in computational neuroscience, culminating in her Ph.D. in 2015.
Research Focus
As a Postdoctoral Researcher, Katie Ferguson's research interests lie at the intersection of applied mathematics and computational neuroscience. Her work involves applying mathematical principles to understand complex neural processes, contributing to advancements in the field. Her educational background supports her expertise in these areas, enabling her to conduct significant research.