School of Medicine
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Aryaman Taore
Postdoctoral Scholar, Developmental Behavioral Pediatrics
BioI am a seasoned Machine Learning Engineer and currently a Postdoctoral Researcher at Stanford University, specializing in the intersection of machine learning, neuroscience, and eye tracking technologies. My professional journey encompasses impactful contributions across both industry and academia, along with a thriving entrepreneurial venture.
Industry Experience: My career in industry spans over three years in Germany, where I led the development of an innovative automated machine learning service (AutoML), steering it from conceptualization to full operational functionality. Prior to this, during a two-year tenure in New Zealand, I focused on designing and implementing cloud pipelines that seamlessly integrated factory control systems with cloud-based machine learning services across various leading cloud platforms.
Academic Experience: My doctoral research involved pioneering a Convolutional Neural Network (CNN)-based webcam eye tracking technology tailored for eye-movement-based diagnosis on personal devices. One such paradigm involved screening for color vision deficiencies through a 90-second passive test administered on the iPad. This novel approach not only provided rapid and accurate assessment of color vision but also demonstrated the potential for leveraging mobile devices for widespread screening in both clinical and non-clinical settings. Furthermore, my research extended to screening for macular degeneration, a leading cause of vision loss among older adults. By analyzing reading patterns captured through the webcam eye tracking technology on the iPad, I developed a robust screening algorithm capable of identifying the transition from dry to wet macular degeneration. Currently, as a postdoctoral researcher, I am further advancing this technology and other machine learning-based web applications to facilitate large-scale dyslexia screenings on student devices such as Chromebooks and iPads.
Entrepreneurial Experience: My entrepreneurial spirit was ignited at a young age when, at 17, I founded an on-demand delivery startup in New Zealand. Through strategic planning and innovative approaches, the startup quickly scaled, achieving over $1 million in revenue, employing 50 drivers, and securing $500,000 in seed funding.
