Nand Chandravadia is a computer scientist in New York with eight years of research experience at the intersection of machine learning, neuroscience, and neuromorphic computing. His background spans UCLA BCI projects, computational/theoretical neuroscience at Caltech, and a DREAM Computing fellowship focused on neuromorphic systems at Georgia Tech, and he is pursuing advanced degrees in machine learning and mathematics. He blends theoretical rigor—rooted in maths and theoretical CS—with applied work on brain–computer interfaces and asynchronous circuit-inspired computing. Colleagues describe him as equally comfortable deriving models as implementing them, and his interests extend into music, hinting at a creative approach to problem solving.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Georgia Institute of Technology
Master's degree, Computer Science, Master's degree, Computer Science at Columbia University in the City of New York
Bachelor's degree, Neuroscience, Bachelor's degree, Neuroscience at University of California, Los Angeles
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