
Cheng-Hsien Li, PhD
Undergraduate Research Assistant

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About me
Strong problem-solving skills in technical and operational domains | Python Automation Enthusiast | Credit Risk Analytics | Apache Airflow
Education

National Tsing Hua University
2004 - 2008Bachelor of Science (B.S.) Physics
University of Minnesota-Twin Cities
2010 - 2017Physics PhD Neutrino Physics
Experience

National Tsing Hua University
Aug 2006 - Jun 2008Undergraduate Research Assistant• Designed, simulated, and fabricated a novel waveguide mode converter at sub-terahertz frequency.

Taiwanese Air Force
Jul 2008 - Jun 2009Second Lieutenant• Mandatory military service. • Appointed as a deputy platoon commander in an anti-air artillery and missile troop.• Coordinated operation at company level as the duty officer during 10-day combat readiness each month.• Prioritized assigned tasks and handled unexpected situation under time pressure.

Institute of Physics, Academia Sinica
Jul 2009 - Jul 2010Full-time Research Assistant• Modeled the dark matter distribution within the Solar system.• Maintained the neutrino experiment in the Kuo-Sheng nuclear power plant.

School of Physics and Astronomy, University of Minnesota
Sept 2010 - May 2013Graduate Teaching Assistant• Instructed the discussion and lab sessions in introductory physics courses at UMN• Identified students' conceptual difficulty in learning physics and communicated with the lecturing professor.• Organized weekly meeting and TA duty assignment of the teaching team as the lead TA.• Graded exams and lab reports and provided feedback to students.

Nuclear Theory Group, University of Minnesota, TC
Jun 2013 - Sept 2017Graduate Research Assistant• Performed theoretical research on neutrinos as wave packets.• Constructed a symbolic solution for a 3D Gaussian wave packet that satisfies the wave equation.• Formulated a model to estimate the likelihood of wave packet overlap from an intensive neutrino source.• Built numerical projects that makes connection between neutrino physics theory and experimental observables.• Performed hypothesis test of supernova SN1987A data using asymptotic distributional theories (such as Kolmogorov–Smirnov, Anderson-Darling, and chi-square), Monte Carlo method, and exhaustive enumeration method. Show less

Numeraxial LLC
Sept 2017 - Jan 2018Quantitative Risk Analyst• Developed and validated quantitative methods to model credit and market risks.• Lead the Risk Platform Team’s efforts to implement algorithms selected for applications.• Documented coded applications to be deployed by the programmer team.• Mentored an intern on a machine learning project.

Union Bank
Jan 2018 - Dec 2022Credit Research Associate / AVPQuant Researcher Function • Engaged in reserve methodology development for ACL under CECL standard. • Lead development and validation of Qualitative Scorecard reserve calibration. • Engineered a novel loss-preserving average method to diagnose ACL outputs from PD, LGD, EAD models. • Triaged model run outputs and worked with modeling stakeholders to quickly resolve production issues. • Designed insight-generating data reports to support the team’s quarterly activities.Quant Developer Function: • Transformed the team’s production paradigm through automation, standardization, and technical training. • Developed from scratch a sophisticated ACL aggregation and research platform with Python. • Developed Python automation tools for visualization, quality control, and reporting to reduce labor costs. • Participated in the Bank's early development and testing of CECL process with Production and IT Teams. Show less

U.S. Bank
Dec 2022 - nowQuantitatve Model AnalystJoined US Bank through Union Bank acquisition. Currently working on CECL process automation using Python and open source tools such as Apache Airflow.
Licenses & Certifications
- View certificate

Machine Learning
Coursera Course CertificatesJul 2016 - View certificate

Troubleshooting and Debugging Techniques
CourseraSept 2022 - View certificate

Introduction to Containers w/ Docker, Kubernetes & OpenShift
CourseraMar 2023 - View certificate

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
CourseraJan 2023 - View certificate

Automating Real-World Tasks with Python
CourseraSept 2022 - View certificate

Google IT Automation with Python
CourseraSept 2022 - View certificate

Configuration Management and the Cloud
CourseraSept 2022 - View certificate

Using Python to Interact with the Operating System
CourseraAug 2022 - View certificate

Introduction to Git and GitHub
CourseraAug 2022 - View certificate

Neural Networks and Deep Learning
CourseraNov 2022
Honors & Awards
- Awarded to Cheng-Hsien Li, PhDOutstanding Teaching Award School of Physics and Astronomy, UMN May 2011 • For effective instruction in the physics teaching program during the 2010-11 academic year
- Awarded to Cheng-Hsien Li, PhDCollege Student Publication Award The Physical Society of Republic of China (Taiwan) Dec 2009
- Awarded to Cheng-Hsien Li, PhDCollege Student Research Scholarship National Science Council of Taiwan Jul 2007 • Accompanied with a research grant for conducting the proposed project
Languages
- enEnglish
- chChinese
- taTaiwanese
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