Jun-Chau Chien (Senior Member, IEEE) received the B.S. degree in electrical engineering and the M.S. degree in electronics engineering from National Taiwan University, Taipei, Taiwan, in 2004 and 2006, respectively, and the Ph.D. degree in electrical engineering from the University of California at Berkeley, Berkeley, in 2015. From 2008 to 2014, he was with the Berkeley Wireless Research Center (BWRC). He held industrial positions with HMicro (now LifeSignals Inc.), Xilinx Inc., InvenSense (now TDK Corporation), and INanoBio Inc. He received Postdoctoral training with Stanford University from 2017 to 2018 and was a Research Engineer from 2018 to 2020. He was an Assistant Professor with the Department of Electrical Engineering, the Graduate Institute of Electronics Engineering (GIEE), and the Graduate School of Advanced Technology (GSAT), National Taiwan University, from 2021 to 2022. He is currently an Assistant Professor with the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley. His research interests include integrated microsystems for in vitro and in vivo biosensing, high-speed millimeter-wave, mixed-signal circuits and systems, and electronic techniques for VNA calibration. Dr. Chien was a recipient of the 2022 BioCAS Best Paper Award, the 2019 CICC Outstanding Regular Paper Award, the 2014 Microwave Theory and Techniques Society (MTT-S) Graduate Fellowship for Medical Applications, the 2014 Solid-State Circuit Society (SSCS) Predoctoral Achievement Award, the 2013–2014 Outstanding Graduate Student Instructor Award from the University of California at Berkeley, the 2014 Analog Devices Outstanding Design Award, the 2008 Berkeley Wireless Research Center Fellowship, the 2007 International Solid-State Circuits Conference (ISSCC) Silk Road Award, and the 2006 Outstanding Research Award and Annual Best Thesis Award from the Graduate Institute of Electronics Engineering, National Taiwan University. He was a co-recipient of the 2010 Jack Kilby Award for Outstanding Student Paper for his work on a 90 GHz pulser with 30 GHz of bandwidth for medical imaging.