Huamin Wang is the chief scientist at Style3D and he leads Style3D’s research team. His research interests focus on high-performance, high-fidelity physics-based simulations accelerated by GPUs and enhanced by generative AI, with applications in computer graphics, computer vision, and machine learning.

Before joining Style3D, he was a tenured associate professor in the CSE department at the Ohio State University (2011 – 2021), and a postdoctoral researcher at UC Berkeley (2009 – 2011). He has served on the technical program committees of numerous conferences and chaired the technical programs of CASA 2017 and SCA 2023. He is an associate editor of IEEE TVCG and the Visual Computer.

For more information, including contact details, please refer to the CV.