Michael Posa is an Assistant Professor in Mechanical Engineering and Applied Mechanics (MEAM) at the University of Pennsylvania, with secondary appointments in Electrical and Systems Engineering (ESE) and Computer and Information Science (CIS). He leads the Dynamic Autonomy and Intelligent Robotics (DAIR) lab, a group within the Penn GRASP laboratory. His group focuses on developing computationally tractable algorithms to enable robots to operate both dynamically and safely as they interact with their environments. Michael received his Ph.D. in Electrical Engineering and Computer Science from MIT in 2017, where, among his other research, he spent time on the MIT DARPA Robotics Challenge team. He received his B.S. in Mechanical Engineering from Stanford University in 2007. Before his doctoral studies, he worked as an engineer at Vecna Robotics. He has received the Best Paper award at HSCC and been finalist for awards at TRO, ICRA, and IEEE Humanoids. He received the NSF CAREER Award in 2023, a Google Faculty Research Award in 2019, and the Young Faculty Researcher Award from the Toyota Research Institute in 2021.