My Story
I have a unique background that combines advanced computational physics with practical applications in quantitative finance. My journey began with a fascination for understanding the fundamental behavior of quantum matter, which led me through a PhD at UNC-Chapel Hill where I developed novel computational methods for quantum many-body systems.
Today, as a Lead Quantitative Analytics Specialist at Wells Fargo, I apply the same analytical rigor and computational expertise to solve complex financial challenges. I bridge the gap between cutting-edge research methodologies and real-world business solutions, transforming theoretical insights into practical applications that drive business value.
Core Competencies
Quantitative Development
Python • C++ • Mathematical Modeling
Financial Analytics
Risk Modeling • FRTB SA • ISDA SIMM
Data Science
Machine Learning • Time Series • Statistical Analysis
Computational Physics
Quantum Many-Body • High-Performance Computing
Analytics Platforms
Interactive Dashboards • Data Visualization
Technical Leadership
Team Management • Process Automation
Explore comprehensive technical expertise and business applications
View Complete Technical Portfolio →Education
- PhD in Physics, University of North Carolina - Chapel Hill Aug 2016 to May 2022
- Visiting Student in Physics, Duke University Aug 2013 to Aug 2014
- B.S in Physics, Shandong University Sep 2011 to Jun 2015
Professional Journey
Current Role
Lead Quantitative Analytics Specialist at Wells Fargo, leading development of Python-based risk analytics frameworks, designing regulatory compliance models (FRTB SA, ISDA SIMM), and building interactive dashboards for stakeholders. I lead cross-functional teams and present analytics to senior management.
View Professional Experience →Academic Contributions
Computational Physics Research focused on quantum many-body systems, developing the "Automated Algebra Method" that eliminates statistical errors in quantum calculations. Published 6+ peer-reviewed papers including an Editor's Suggestion in Physical Review Letters.
View Academic Work →Beyond Work
When I’m not developing analytical models or researching quantum systems, I’m passionate about the intersection of technology and problem-solving. I enjoy exploring how computational methods can be applied to diverse domains, from physics simulations to financial modeling.
My approach to both research and industry work is driven by a curiosity to understand complex systems and a commitment to developing elegant, practical solutions.