Piya Pal is an Assistant Professor of Electrical and Computer Engineering, and a founding faculty member and faculty advisor of the Halıcıoğlu Data Science Institute at the University of California, San Diego. Her research interests include signal representation and sampling for high-dimensional inference, super-resolution imaging, convex and non-convex optimization, and statistical learning. Her research has been recognized by the 2019 Presidential Early Career Award for Scientists and Engineers (PECASE), 2019 Office of Naval Research Young Investigator Program (ONR YIP) Award, 2016 NSF CAREER Award, 2018 Qualcomm Fellow Mentor Advisor Award and the 2014 Charles and Ellen Wilts Prize for Outstanding Doctoral Thesis in Electrical Engineering at Caltech. She is also a two-time recipient of the Best Graduate Teaching Award in Electrical and Computer Engineering at UC San Diego (in 2017 and 2018). She and her student have received several best paper awards at conferences, including the Best Student Paper Award at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2017. She is an elected member of the IEEE SAM and SPTM Technical Committees. She received her B.S. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology, Kharagpur in 2007 and her Ph.D. in Electrical Engineering from the California Institute of Technology (Caltech), Pasadena in 2013.