Teresa Canas-Bajo is a data scientist at Clarity AI, with a strong academic background in Vision Science, having obtained a PhD from the University of California, Berkeley. Prior experience includes serving as a graduate student in the Whitney Lab at UC Berkeley, where key research involved studying driver's attention in autonomous vehicles, and as a graduate research assistant at The University of Edinburgh, focusing on visual cognition through eye-tracking devices. Teresa has also contributed to the field as a graduate student instructor, winning the 2019 Vision Science Departmental Award for Outstanding Graduate Student Instructor. Additional roles include vision research scientist at Berkeley DeepDrive, and an internship at Flywheel.io, where Teresa developed algorithms for processing ophthalmology images. Academic achievements include a master's degree in Experimental Psychology and a graduate certificate in Applied Data Science.
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