Shih-Chieh Hsu is an associate professor in the Physics department at the University of Washington. His research interests are in the field of experimental particle physics with a specific focus on searching for Beyond the Standard Model physics with the Large Hadron Collider (LHC) data. His major activities include dark matter searches with the ATLAS experiment, dark photon searches and neutrino cross-section measurements with the FASER experiment, high-speed FPGA read-out system for the ATLAS Pixel detector, and accelerated data-intensive algorithms with the Fast Machine Learning Lab. His specialized expertise include Machine Learning algorithms, High Performance Computing, and Coprocessor Applications.
Hsu received his Ph.D. degree (2003-2008) from the University of California San Diego after he earned a bachelor degree (1995-1999) and a master degree (2000) in National Taiwan University, all in Physics. He worked as a Chamberlain Fellow (2008–2012) at the Lawrence Berkeley National Laboratory and joined the faculty at the University of Washington in Fall 2012. He received an DOE Early Career Award (2016), UW Undergraduate Research Mentor Award (2015), and US ATLAS Scholarship (2014). He is the Principal Investigator of a NSF HDR award OAC-1934360 (2019-2021): “Collaborative Research: Advancing Science with Accelerated Machine Learning.”