Vidya Ganapati is a software engineer and researcher with 11 years of experience applying deep learning to scientific and engineering problems, now building production systems at Waymo from Berkeley. She holds a PhD in EECS from UC Berkeley and a BS from MIT, and has bridged academia and industry as a research scientist at Berkeley Lab (protein structure with foundation models), an assistant professor at Swarthmore, and a hardware-focused computer vision engineer at Verily. Vidya’s work spans foundational research—optimizing optical systems and protein modeling—to practical deployment in robotics and autonomous driving, making her fluent in both model development and system integration. She has experience teaching and mentoring early-career technologists, having run intensive CS programs for high school students and supervised research teams. Comfortable moving projects from prototype to production, she brings a rare combination of experimental rigor and applied engineering judgment. Based in Berkeley, she combines domain depth in scientific ML with hands-on expertise in real-world perception and control systems.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical Engineering and Computer Science, Doctor of Philosophy (PhD) Electrical Engineering and Computer Science at University of California, Berkeley
Bachelor of Science (BS) Electrical Engineering, Bachelor of Science (BS) Electrical Engineering at Massachusetts Institute of Technology
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