Summary
Nikhil Bhattasali is a doctoral researcher at NYU specializing in neuroscience-inspired AI and embodied intelligence, with nine years of interdisciplinary experience spanning computer science, machine learning, mechatronics, and neuroscience. He builds biologically inspired computational models to control virtual agents and physical robots, producing NeurIPS-first-author work and projects supervised by leaders like Grace Lindsay, Lerrel Pinto, Yann LeCun, Tony Zador, and Sam Gershman. His background includes hands-on robotics hardware (a 31-DOF biomimetic hand), scalable systems engineering at Google, and open-science tooling at Stanford’s CodaLab, reflecting fluency from low-level C++ pipelines to high-level neural architectures. He combines theoretical rigor—designing theory-constrained models and ANN priors for motor control—with practical robot demonstrations that improve data efficiency and robustness. A 2022 Hertz Fellow with BS/MS degrees from Stanford, he often frames AI problems through a neuroscience lens and pursues uncommon cross-disciplinary threads such as commonsense reasoning and modular neural design. Based in Palo Alto, he brings a rare mix of experimental robotics craft and computational theory to neuro-AI research.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Neuro-Inspired AI + Robotics), Doctor of Philosophy - PhD, Computer Science (Neuro-Inspired AI + Robotics) at New York University
High School, GPA 4.52/4.00, High School, GPA 4.52/4.00 at Thomas Jefferson High School for Science and Technology
B.S., Symbolic Systems (Artificial Intelligence), B.S., Symbolic Systems (Artificial Intelligence) at Stanford University
English, Chinese, Spanish