Date(s) - 01/14/2021
4:30 pm - 5:30 pm

Please use this zoom link for the event.

Please join us for a UW Data Science Seminar event on Thursday, January 14th from 4:30 to 5:30 p.m. The seminar will feature Shih-Chieh Hsu, UW Associate Professor of Physics and a member of the UW Elementary Particle Experiment Group.

“GPU or FPGA-accelerated AI Inference as a service for LHC physics”

Professor Hsu began his career as an experimental particle physicist since undergraduate year. He installed and commissioned the Extreme Forward Calorimeter for Belle experiment at KEK in Japan and analyzed the earliest e+e- collision data to confirm the anomalous large production of B->eta’K for his master thesis under Paoti Chang’s supervision. His Ph. D. thesis, done under the supervision of Frank Wuerthwein, was a detailed study of diboson production and the Standard Model Higgs search with CDF experiment at Fermilab.

As a Chamberlain Fellow, Hsu led the development and commissioning of ATLAS Pixel DAQ software in particular the Read Out Drive Digital Signal Processing, pioneered in the Inner Detector tracking alignment and played significant role on muon performance studies in both pronton-proton and heavy ion collision. He led the first measurement of ZZ production and search of ZZ resonance at high mass. Hsu served as the Standard Model Electroweak co-convener and diboson contacts in the LHC Electroweak Working Group since 2011.

Professor Hsu continues the investigations of electroweak symmetry breaking by measuring the properties of 126 GeV particle discovered in July 2012 at LHC and the search of physics beyond the Standard Model by studying vector boson scattering at TeV energy scale with boosted jet substructure techniques.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

All seminars will be hosted virtually for the 2020-2021 academic year, and are free and open to the public.