Awarded in 2019
Home Department: Electrical Engineering
Faculty Advisors: James Zou (Biomedical Data Science) and Mark Schnitzer (Biology and Applied Physics)

Research Title: Theory and algorithms for large-scale machine learning systems

Research Description: Brain-machine interfaces (BMIs) will be among the most revolutionary technologies of the 21st century. One of the most highly sought-after applications of BMIs is the ability to directly write in sensory perception to the conscious mind, enabling advances in medical treatment of brain dysfunction. Here, Tony proposes to engineer a novel system for inducing complex, synthetic visual percepts with transformative innovations, enabling him to build a real-time control system that injects detailed visual scenes directly into the subject’s mind via manipulation of cortical activation patterns.

WHERE IS HE NOW?

Tony is currently a lead scientist at Salesforce AI Research, developing generative AI for the enterprise.