In Fall 2026, I will be starting as an Assistant Professor of Computer Science in the Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington.

Currently, I am completing my PhD in the Robotics Institute at Carnegie Mellon University. I am advised by Reid Simmons and Henny Admoni, and am part of the Human and Robot Partners (HARP) Lab and Reliable Autonomous Systems Lab (RASL). My work has been generously supported by the National Defense Science and Engineering Graduate (NDSEG) Fellowship, an Uber PhD Fellowship, and a Siebel Scholarship. Previously, I graduated from Caltech with a B.S. in Computer Science where I worked with Yuxin Chen and Yisong Yue on machine teaching, and Soon-Jo Chung on distributed control.

Research

My research interests lie in the areas of interactive machine learning, uncertainty quantification, and human robot interaction. I’m interested in developing algorithms to enable fluent, bidirectional human-robot learning and collaboration (see 2-page research statement).

My PhD research develops data-driven robotic algorithms that learn effectively from human feedback, with uncertainty quantification algorithms that enable robots to self-assess when and why their policies are nonperformant, communicate insights with human teachers, and proactively ask for targeted feedback. My long-term goal is to build lifelong, collaborative intelligence: robotic partners that remain helpful even when imperfect, continually learning by shaping strategic human-robot interactions to improve their assistance.

I publish in journals and conferences for robotics, machine learning, and cognitive science, including RSS, ICRA, IROS, CoRL, HRI, TopiCS, and ICLR. Teaching and mentorship are very important to me, and students I have mentored have gone on to PhDs in HRI at University of Washington and Colorado School of Mines!

See research topics →