Summary
Sylvia Herbert is an assistant professor and researcher with nine years of experience specializing in safety for autonomous systems, combining theoretical control, game-theoretic dynamics, and machine learning to make robots and vehicles provably safe and adaptable. After earning MS and BS degrees in mechanical engineering from Drexel and a PhD in EECS from UC Berkeley, she transitioned academic research into applied safety work at UC San Diego’s Jacobs School of Engineering. Her work emphasizes rigorously backed techniques that are validated on physical robotic platforms, bridging theory and real-world testing. Based in the San Francisco Bay Area, she brings a multidisciplinary background—from nanophotonics and biomaterials labs to automotive design—which informs practical, systems-level perspectives on autonomy. An unassuming but distinguishing trait is her sustained focus on fast adaptation to unexpected environmental changes, reflecting both control-theoretic depth and attention to human-centric safety.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.), Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor of Science and Master of Science, Mechanical Engineering, Bachelor of Science and Master of Science, Mechanical Engineering at Drexel University
Student, N/A, Student, N/A at Lower Merion High School