I am a Lecturer and Associate Research Scientist at Yale University in the Department of Mechanical Engineering. My work focuses on developing learning and control algorithms for efficient human-robot interaction. Prior to Yale, I was a Postdoctoral Research Fellow in the Learning Algorithms and Systems (LASA) lab at the École Polytechnique Fédérale de Lausanne (EPFL) under Prof. Aude Billard, where I worked on developing algorithms for multimodal sensory learning for safe manipulation and adaptive safety controllers for human-robot collaboration. I obtained my Ph.D. in Robotics at Northwestern University in Prof. Todd Murphey’s lab. My Ph.D. work centered on developing information communication algorithms to enable intuitive human-robot collaboration and efficient robot learning using distribution-based motion representations and information-theoretic measures. I led Northwestern’s team for the DARPA OFFSET Urban Swarm Challenge, developing autonomous swarm algorithms for shared human-swarm collaboration and exploring their efficacy in aiding task performance under dynamic, time-sensitive constraints.
PhD in Mechanical Engineering, 2020
Northwestern University
MSc in Mechanical Engineering, 2016
Northwestern University
BSc in Mechanical Engineering, 2013
California Institute of Technology
When learning representations for robot control, the quality of the learned model (whether of the world, task or system itself) depends …
Developing autonomous ergodic swarm algorithms for human-swarm collaboration under dynamic, time-sensitive constraints
People are extraordinarly good at crafting representations of tasks that takes into account the motion information necessary for …