Irving Fang

Irving Fang

I am a Computer Science PhD candidate at New York University, advised by Prof. Chen Feng. I also collaborate closely with Prof. Yunzhu Li at Columbia University.

I obtained my bachelor's degree from UC Berkeley, double majoring in Data Science (Robotics Emphasis) and Mathematics, with minors in Japanese Literature and EECS. At UC Berkeley I was fortunate enough to work with Prof. Alice Agogino at her BEST Lab and Squishy Robotics.

I am currently at Amazon Frontier AI & Robotics as a Member of Technical Staff Intern. In the past, I have interned at Analog Devices and Mitsubishi Electric Research Laboratories, mostly working on some combination of tactile sensing, reinforcement learning, imitation learning and so on in the context of robotics.

In my free time, I am a hardware hobbyist who enjoys playing with MCUs, FPGAs and 3D printing. I am also a fan of industrial/clothing/jewelry design.

Research

At the broadest level, my research lies at the intersection of robotics, computer vision, and machine learning.

I am particularly interested in contact-rich manipulation: can we make robots as dexterous, adaptive, and efficient as humans when interacting with objects, the environment, or even other people through contact?

I would like to approach this problem with a diverse toolbox, including deep learning, tactile sensing, model predictive control, vision-language models, hardware design, simulation, and even emerging approaches like neuromorphic computing.

In my free time, I also contribute my computational skills to scientific research in other fields such as anthropology.

For collaboration, click here

Thank you for your interest in collaborating! Please don't hesitate to shoot me an email.

For Undergrad/MS students, please additionally send me a link to a Github repo that you feel proudest of. I am especially impressed by students with the habit of writing clean, well-documented code. You can also consider filling out our lab's recruiting form so more PhD students can get to know you.

Publications

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

Service