During his master's, he worked on using deep learning-based strategies to map active thoughts or gestures to acoustics for artificial voice synthesis, developed gesture-based speech interfaces, and EEG-based imagined speech recognition systems. Currently working on the CALOPUS project, aiming to develop a point-of-care ultrasound solution that identifies risks of adverse pregnancy events.
Education
Graduated from the University of British Columbia, Vancouver, Canada, with an MASc in Electrical and Computer Engineering in February 2021, as a MITACS Globalink Research Fellow and Graduate Research Assistant in HCT Lab; then started studying for a DPhil under Prof. Alison Noble, focusing on solving challenges in federated learning scenarios.
Background
Research interests include Deep Learning, Medical Image Analysis, and Computer Vision. His work primarily targets finding alternative vocal communication pathways, especially for people with speaking disabilities, by employing deep learning strategies to map thoughts or gestures to the acoustic space for artificial voice synthesis.