Miaoyuan Liu is an Assistant Professor at Purdue University and an experimental particle physicist with 11 years of experience probing fundamental particles and forces using LHC data. She has led searches for supersymmetric particles and precision measurements of rare multi-boson processes, including thesis work published in Physical Review Letters and highlighted as an Editor’s Pick. Her background spans detector commissioning and DAQ development for CMS, FPGA-accelerated ML inference, and calorimetry studies using deep learning—bringing hardware-aware ML to frontier collider experiments. She combines strong software skills in C++ and Python with large-scale data analysis on multi-hundred-terabyte datasets and a track record of mentoring students. Currently she focuses on novel measurements of the Higgs potential and deploying ML in trigger/data acquisition to unlock the High-Luminosity LHC physics reach.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Duke University
Bachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Shandong University
Contributions:6 pushes, 1 branch in 3 years 5 months
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Miaoyuan Liu - Assistant Professor at Purdue University