Summary
Mayur Mudigonda is a scientist-turned-founder based in Berkeley with over a decade of hands-on experience at the intersection of AI, climate science, and neuroscience. He leads Vayuh.ai, a VC-backed startup building physics-informed risk technologies, and previously headed AI at terrafuse, applying machine learning to climate problems with real-world impact. His background blends a PhD in Vision Science/Neuroscience from UC Berkeley with research roles at Berkeley Lab and projects exploring meditation’s neural effects at a Harvard-affiliated center, reflecting uncommon depth across theory and applied science. Mayur’s early work on sensory-motor models of vision and differentiable 3D inference informs his approach to robust, generalizable ML systems. He bridges academic rigor and product-focused engineering, recruiting from top research institutions to translate principled models into deployable risk tools. Colleagues describe him as someone who rigorously fuses physics, neuroscience intuition, and scalable AI to tackle societally important challenges.
13 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Vision Science/Physiological Optics, Neuroscience, Artificial Intelligence, Doctor of Philosophy - PhD, Vision Science/Physiological Optics, Neuroscience, Artificial Intelligence at University of California, Berkeley
Anna University, Chennai
Masters of Science, Computer Science; Cognitive Science, Masters of Science, Computer Science; Cognitive Science at Michigan State University
English