Jungdam Won is a research scientist working on Creative AI at the Pittsburgh office. His current areas of research include designing controllers for virtual/physical agents, understating interactions between multiple agents, and developing easy-to-use and effective methods that bridge the gap between users and their virtual persona, where motion capture, optimization, and various machine learning approaches have been actively used. Before he joined Meta, he worked at Movement Research Lab at Seoul National Univ. as a postdoctoral researcher, received his Ph.D. and B.S. in Computer Science and Engineering from Seoul National Univ., Korea, in 2017, and 2011, respectively. For academic services, he has served as a committee member in several prestigious international conferences, e.g., technical paper program and course committee for ACM SIGGRAPH Asia, technical paper program committee for Eurographics, Pacific Graphics, Motion Interaction and Games, CASA, and IEEE AIVR. He also has worked as a reviewer for various conferences and journals such as SIGGRAPH / SIGGRAPH Asia (ACM TOG), Eurographics (CGF), IEEE TVCG, and etc.