Kathryn Simone

Kathryn Simone is a Sessional Lecturer at the University of Waterloo, focusing on interdisciplinary research at the intersection of neuroscience, neuroengineering, and computational systems. Her work emphasizes neurophysiological mechanisms, biologically plausible algorithms, and innovative neurotechnology development.

Research interests center on stress neurobiology, neural coding mechanisms, and the development of advanced optical systems for in vivo neural monitoring. She explores topics such as CRH neuron activity in memory formation, motion artifact correction in fiber photometry, and neuromorphic computing inspired by biological systems.

Her publications span 2015–2024, with a strong emphasis on optoelectronic systems for neuroimaging, reinforcement learning algorithms, and behavioral neuroscience applications. Notable contributions include open-source fiber photometry systems and studies on hypothalamic stress response dynamics.

No scientific awards are explicitly mentioned in the provided materials. Advising and grant information is not available in the current text. Her work involves collaboration with rodent models and employs cutting-edge tools like calcium imaging and vector symbolic algebra for neural data analysis.