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PhD in Physics

University of Wisconsin-Madison, Madison, WI

• Dissertation: "Investigation of Higgs Boson Decaying to Di-muon, Dark Matter Produced in Association with a Higgs Boson Decaying to b-quarks and Unbinned Profiled Unfolding"
• Advisor: Prof. Sau Lan Wu

MS in Physics

National Tsing Hua University, Hsinchu, Taiwan

• Dissertation: "Dark Matter Induced Mikheyev-Smirnov-Wolfenstein (MSW) Effects in the Sun and in Core-Collapse Supernovae"
• Advisor: Prof. We-Fu Chang

BS in Physics

National Tsing Hua University, Hsinchu, Taiwan

Machine Learning Postdoctoral Research Fellow

Scientific Data Division, Lawrence Berkeley National Lab

• Developing a deep learning pipeline (using Graph Neural Network) to measure particle trajectories in High-Energy Physics detectors.
• Developing a generative model of hadronic interactions and tune it to Geant 4 and experimental data.
• Developing ML-based unfolding algorithms for particle physics.

Visiting Research Fellow

Machine Learning Group, Lawrence Berkeley National Lab

• Developed novel ML applications for particle physics, including data unfolding and event simulation with generative models.
• Translated abstract ideas into efficient and well-documented code using PyTorch, TensorFlow and Jupyter Notebook; successfully demonstrated proposed methods with practical examples.
• Contributed to 3 projects; resulted in 2 first author journal publications (1 ongoing).

Visiting Research Fellow

ATLAS Group, Lawrence Berkeley National Lab

• Designed experiments and conducted electrical tests on the ATLAS ITk pixel readout chips (for future upgrade).
• Delivered promising testing results, leading to submissions of module pre-production and chip production.
• Developed three robust 0-1 software tools using Python and C++ to automate the pixel module test procedure; successfully implemented and in use across community.

PhD researcher

CERN, Geneva, Switzerland

• Led 4 physics analyses of the ATLAS experiment focused on Higgs physics and Dark Matter; presented 5 approval talks, resulting in 4 journal papers and 4 ATLAS conference notes.
• Developed ML-based event categorization and enhanced signal sensitivity by over 200%.
• Developed statistical framework and performed statistical fitting; delivered statistical results as well as visualization plots.
• Applied anomaly detection using unsupervised machine learning methods (e.g. VAE) and demonstrated the methods by re-discovering the Higgs boson from the ATLAS data at over 10 standard deviations.

Research Assistant

National Tsing Hua University

• Created a Machine Learning method to improve discrimination of Higgs boson production modes.
• Estimated Dark Matter distribution numerically in astronomical objects (Sun, supernovae and the Galaxy) and calculated impacts of Dark Matter on neutrino oscillations assuming Dark Matter-neutrino interactions; set 2 times stronger constraint on Dark Matter-neutrino coupling strength.
• Studied 214 p-wave superconductor with the molecular beam epitaxy System (MBE).

• Research Fellowship, Machine Learning for HEP, LBNL

• Research Fellowship, ITk Pixel Upgrade, LBNL
• US-ATLAS Center (ATC) Funding Award, ITK Pixel Upgrade, US-ATLAS
• Allan M. and Arline B. Paul Physics Award, UW-Madison

• Grant for the fifth Summer School on ML in HEP with Grant, DESY, Hambrug, Germany

• First prize for the project competition at the 44th SLAC Summer Institute

• Honor Roll of CoS Elite Scholarship

• Honor Roll of CoS Chen-Wen Elite Scholarship

Gave a hands-on tutorial of deep learning in US-ATLAS Machine Learning Training Program

LBNL

Shared experience of studying abroad on social media (Instagram, Facebook)

American Institute in Taiwan

Member of Lambda Alliance ERG

LBNL

• Participated in monthly ERG meeting.
• Participated in the 2022 San Francisco Pride Parade.

Introduced High Energy Particle Physics to the Wisconsin Taiwanese Student Association, "The smallest particle created by the largest experiment"

UW-Madison

Presented a talk on High Energy Physics to high school students, "Are we in danger with the black holes created by LHC?"

The Affiliated Senior High School of National Taiwan Normal University, Taipei, Taiwan

Member of CERN LGBT Club

CERN

• Organized the 2019 Geneva Pride activities.
• Organized the 2018 LGBTSTEM Day.