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Mariah Schrum

Mariah Schrum is a fifth-year Robotics PhD student in the CORE Robotics Lab at Georgia Tech and is also an NSF Accessibility, Rehabilitation, and Movement Science (ARMS) fellow. In her research, Mariah explores techniques for algorithmic human-robot interaction and data-driven personalization. Her research spans diverse domains, including learning from demonstration, autonomous vehicles, and healthcare. Prior to her PhD, Mariah graduated from the Johns Hopkins University with a BS in Biomedical Engineering and minors in Robotics and Mathematics in 2018. She additionally received a Master’s in Computer Science from Georgia Tech in 2020. Her publication record includes papers at the Conference on Robot Learning (CoRL), the International Conference on Robotics and Automation (ICRA), and a best technical paper award at the International Conference on Human-Robot Interaction (HRI).

Matthew Gombolay

Professor Matthew Gombolay is an Assistant Professor of Interactive Computing at the Georgia Institute of Technology and was named the Anne and Alan Taetle Early-career Assistant Professor in 2018. Dr. Gombolay is the director of the Cognitive Optimization and Relational (CORE) Robotics Lab, which seeks to place the power of robots in the hands of everyone by developing new computational methods and human factors insights that enable robots to learn from interaction with diverse, non-expert end-users to perform assistive tasks and coordinate in human-robot teams in applications from healthcare to manufacturing. Dr. Gombolay has authored has produced over 60 peer-reviewed papers, including best paper awards at the ACM/IEEE International Conference on Human-Robot Interaction, a best paper finalist at the 2020 Conference on Robot Learning (CoRL), and a best student paper finalist at the 2020 American Controls Conference (ACC). Dr. Gombolay is a NASA Early Career Fellow and a DARPA Riser, and he is an Associate Editor of Autonomous Robots and the ACM Transactions on Human-Robot Interaction.