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.
In my free time I enjoy playing with MCU/FPGA boards and GPU programming, although admittedly I haven't figured out a good way to integrate them with my research. I also enjoy literature, mostly modern and contemporary Japanese literature.
I am interested in multi-modal robotic perception (tactile, visual, biosignal, etc.), and perception algorithm that makes robots more viable in real life with better power efficiency, execution speed and so on.
I use tools like deep learning, neuromorphic computing, model predictive control and etc..
But most importantly, at the fundamental level, I am interested in research that can enhance human experiences instead of replacing humans.
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,