Viviana Hernandez Castañón, Ph.D.

Viviana Hernández Castañón earned her master's degree in computer science in Mexico, where she investigated how abstraction in virtual environments shapes skill acquisition through the analysis of EEG signals and behavioral data. She obtained her Ph.D. in Automatic Control, Signal and Image Processing, Computer Engineering in France, where she developed optimized algorithms for brain source localization from (S)EEG signals recorded during frequency tagging paradigms.

Her postdoctoral research has focused on the neural mechanisms of sound processing, combining electrophysiological recordings with machine learning approaches. More recently, she has expanded her interests to include the use of two-photon calcium imaging to study neural activity underlying proprioception.

Hernández Castañón is motivated to develop computational and experimental approaches that advance understanding of the neural circuits supporting sensory and cognitive functions, with applications to human health.