I work at the intersection of machine learning & robotics to solve problems in the computational material science/chem space for automation, batteries, and energy broadly.
I am the co-author of "Machine Learning for Robotics", a book getting published by O'Reilly. Alongside conducting machine learning research at Berkeley AI Research Lab (BAIR), I’m working with Dr. Matthew Murbach and Dr. Yanbo Qi at Tesla on computational chemistry, physics models and ML methods for battery materials discovery.I'm the co-founder and developer of Voltx, a machine learning software that can reduce testing time of supercapacitors and batteries from 3 months to 3 days.
I'm a developer at Hanson Robotics, where I'm helping them develop a toolkit for the Sophia 2020 platform. I'm developing a novel hand design and RL/Vision based approachs to improve hand manipulation.
I recently presented a poster at Neurips in collaboration with WiML about my work with San Jose State University using GVF and GG-CNN to improve prosthetic hand control for grasping and multi-joint control.
I'm the co-founder and developer of Voltx, a machine learning software that can reduce testing time of supercapacitors and batteries from 3 months to 3 days.
I'm a developer at Hanson Robotics, where I'm helping them develop a toolkit for the Sophia 2020 platform. I'm developing a novel hand design and RL/Vision based approachs to improve hand manipulation.
I recently presented a poster at Neurips in collaboration with WiML about my work with San Jose State University using GVF and GG-CNN to improve prosthetic hand control for grasping and multi-joint control.