I obtained my bachelor's degree from UC Berkeley, double majoring in Data Science (Robotics Emphasis) and Mathematics, with minors in Japanese and EECS.
At UC Berkeley I was fortunate enough to work with Prof. Alice Agogino at her BEST Lab and Squishy Robotics.
I am interested in multi-modal robotic perception (tactile, visual, biosignal, etc.) and physics-informed robot learning. I want to utilize learning-based and classical methods to better leverage multi-modality data for solving robotics problems, especially manipulation.
I am also interested in the mathematical theories behind deep learning and reinforcement learning, and designing better sensors for robotic perception
A framework for optimizing the deployment of emergency sensors using Long Short-Term Memory (LSTM) Neural Network and Expected Value of Information (EVI)
Personal Projects
Please visit this repo. It contains pointers to some personal projects ranging from robotics to a RISC-V CPU implemented on a Xilinx FPGA board.
Teaching
Teaching Aide, ROB-UY 3203 Robot Vision, Spring 2023
Teaching Aide, ROB-GY 6203 Robot Perception, Fall 2022
Teaching Aide, ROB-UY 3203 Robot Vision, Spring 2022
The website is based on Dr. Jon Barron's source code,