Teresa Canas-Bajo is a Senior Data Scientist with nine years of experience applying vision science and machine learning to real-world problems, currently leading data science efforts at Clarity AI from Granada, Spain. She holds a PhD in Vision Science from UC Berkeley and a graduate certificate in Applied Data Science, blending rigorous experimental research with production-focused algorithm development. Her work spans driver attention and human–AV interaction research at Berkeley DeepDrive, ophthalmology image pipelines at Flywheel, and end-to-end model deployment—demonstrating comfort from eye-tracking experiments to scalable data products. As Education Lead for Women in AI Spain she mentors and builds curricula, reflecting a commitment to growing the AI talent pipeline. Notably, her academic projects produced peer-reviewed work on holistic face perception and led to practical signaling interfaces for autonomous vehicles, highlighting a rare mix of human-centred research and applied systems thinking.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Vision Science, Doctor of Philosophy - PhD, Vision Science at University of California, Berkeley
Master’s Degree, Experimental Psychology, Master’s Degree, Experimental Psychology at The University of Edinburgh
Bachelor’s Degree, Psychology, 8.3, Bachelor’s Degree, Psychology, 8.3 at Universidad Autónoma de Madrid
Project in collaboration with Berkeley Deep Drive on driver's attention in manual, semi-autonomous and autonomous vehicles. It uses Pupil Labs and a driving simulator.
Contributions:105 commits, 53 pushes, 1 branch in 5 months
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