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Lillian Chin is an Assistant Professor and Texas Instruments/Kilby Fellow in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, starting in Fall 2024. She holds bachelor's, master's, and Ph.D. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). Lillian's work has been recognized with several awards, including the 2019 IEEE Robosoft Poster Award and the 2019 ACM CS Law Paper Award. She was also a recipient of the 2022 Leventhal City Prize and several fellowships: NSF Graduate Research Fellowship, Hertz Foundation Graduate Fellowship, and Paul and Daisy Soros Fellowship for New Americans. Lillian is focused heavily on research mentorship, having mentored 21 undergraduates and 2 master's students, leading to the publication of 8 papers, with a significant proportion of her students being women or from underrepresented racial minorities. Her research areas include bio-Electrical and Computer Engineering, focusing on Soft Robotic Actuators, Force and Tactile Sensors, Computational Design, and Robotic Manipulation. She is involved with the Texas Robotics and Materials Embody Robots Geometrically (MERGe) Lab.
General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.