I am a Design PhD student in the Co-Design Lab at UC Berkeley, which is advised by Prof. Kosa Goucher-Lambert and is closely associated with the Berkeley Institute of Design. I completed my BS in Mechanical Engineering at The University of Texas at Austin, and during that time, I conducted research in COVID-19 risk modelling under the supervision of Prof. Michael Lachmann and Prof. Jennifer Johnson-Leung.
During my PhD, I have worked with Prof. Can Liu from the City University of Hong Kong to study how generative AI can support designers through the creative process. I have also had close collaborations with Daniele Grandi from AutoDesk Research and Prof. Chris McComb from Carnegie Mellon University studying LLMs capabilities in generating design solutions.
Currently, as of Spring 2024, I am a research intern at the NASA Langley Research Center under the supervision of Dr. Eric Brubaker. Under NASA, we are studying the dynamic of human-AI collaboration through various qualitiative research methods, such as ethnographic observations, interviews, and grounded theory. The goal of our work is to contribute new theoretical insights into human-AI collaboration in the context of design. Starting in Summer 2024, I will begin my research internship at HP Inc. under the supervision of Dr. Jaewoo Chung.
In addition to my research work, I enjoy advising undergraduate or masters students who are interested in doing human-AI interaction research. My goal is to support future generations of researchers that are interested in pursuing graduate education. If you are a UC Berkeley student and are interested, please feel free to reach out. Outside of research, I am a dancer and a weightlifter.
DESINV15 - Design Methodology
DESINV200 - Design Frameworks
I am grateful to both the students and instructors for their support as I strive to improve as a teacher. Your guidance has been invaluable in helping me learn how to better assist you in my role as an instructor.
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