Sujin Jang received his Ph.D. from the School of Mechanical Engineering at Purdue University in August 2017. His research work at the C-Design Lab broadly involved human-computer interaction, visual analytics, machine learning, and robotics. His research has focused on creating methodologies and principles for effective use of gestures in HCI. In particular, he has developed methods to analyze and exploit human gesture based on visual analytics integrating machine learning and information visualization; biomechanical arm fatigue analysis; a gestural user interface for human-robot interaction; and an interactive clustering and collaborative filtering approach for hand pose estimation. He also has served as a teaching assistant for ME 444: Computer-aided design and rapid prototyping, and received the Estus H. and Vashti L. Magoon Award for Teaching Excellence in 2015. [Personal Website][LinkedIn]