I am a final-year Ph.D. student in Computer Science at George Mason University, working in CraGL under the guidance of Yotam Gingold. I received my M.S. in Computational Science and Engineering from the Georgia Institute of Technology in 2020, advised by Edmond Chow, and my B.S. in Mathematics from National Central University, Taiwan, in 2018.

Throughout my Ph.D. I spent two summers (2021 and 2024) as a research intern at Adobe Research, working with Jose Echevarria on color lookup table compression for efficient color style transfer (2021), and with Li-Yi Wei and Rubaiat Habib Kazi on vector animation for fluid simulations (2024). I also spent one summer (2023) at Tencent Pixel Lab as an applied research intern, working with Ran Zhang and Changxi Zheng on editing implicit neural fields.

I focus on developing efficient algorithms for intuitive manipulation of digital content, particularly in image and 3D scene processing. My research leverages sparse optimization, numerical linear algebra, and perceptual models to enable expressive, controllable, and computationally tractable editing workflows.

• May 2026Passed my Ph.D. pre-defense 🎉.
• May 2026Received the GMU Outstanding Ph.D. Student Award 🎉.
• May 2024Started my internship at Adobe Research (San Jose) working with Li-Yi Wei and Rubaiat Habib Kazi.
• Aug 2023Presented ColorfulCurves at SIGGRAPH 2023 in Los Angeles.
• Jun 2023Presented LoCoPalettes at EGSR 2023 at TU Delft.
• Jun 2023Started my internship at Tencent Pixel Lab (New York) with Ran Zhang and Changxi Zheng.
• Apr 2023Passed my Ph.D. comprehensive exams 🎉.
• May 2023Gave a talk at Capital Graphics 2023.
• May 2022Passed my Ph.D. qualifying exams 🎉.
• Jun 2021Presented PosterChild at EGSR 2021 (virtual).
• May 2021Started my internship at Adobe Research (virtual) with Jose Echevarria.
• Aug 2020Started my Ph.D. at CraGL, George Mason University, with Yotam Gingold 🎉.