Wennie Tabib is a Systems Scientist with the Robotics Institute at Carnegie Mellon University. She researches perception, planning, and learning algorithms to enable safe and resilient autonomy in significantly three-dimensional, complex environments. Her current research develops methods to enable aerial systems to explore subterranean environments. Previously, Dr. Tabib was a Postdoctoral Researcher at Carnegie Mellon University where she developed theory and algorithms to enable inference with respect to consistent, high-resolution spatial representations. Dr. Tabib was awarded a Paul and Daisy Soros Fellowship for New Americans and NASA Space Technology Research Fellowship.