Skills

Programming Languages

Python, C++, Java, R, C, MATLAB, SQL, JavaScript, HTML

Frameworks/Tools

AWSCPLEXD3gitGurobiMySQLPyTorchScikit-learnSparkTensorFlowTidyverseVisual Studio

Experience

Amazon

Applied Scientist Intern

May, 2022 Present

Education

University of Science and Technology of China

Bachelor of Science in Statistics • 2012 — 2017

George Washington University

Master of Science in Statistics • 2017 — 2019

University of Utah

Doctor of Philosophy in Transportation Engineering • 2019 — 2023(expected)

Personal Projects

Optimizing Battery Electric Bus (BEB) Deployment

• Designed a Bi-objective Optimization framework with Python and Gurobi to optimally deploy 467 BEBs considering total cost (e.g., charging stations, BEB) and environmental equity in Salt Lake City • Built a visualization platform to allow interactive exploration of BEB deployment plans using HTML, CSS, and JavaScript (d3) with Google Map API for transit agencies • Reduce cost by 24% for Utah Transit Authority after implementation.

Constructing Race-specific Driving Patterns to Address Racial Profiling

• Accessed and processed 2020 United States Census data using MySQL Connectors in Python • Estimated parameters using Mini-Batch Gradient Descent in Python due to memory limit • Simulated traveling behavior of 3,298,632 individuals in San Diego using Agent-based modeling simulation tool MATSim • Parsed the simulation results in XML format using JAVA into analyzable sub-sections (e.g., route/mode choice)

Outside Interests

In my free time, I enjoy working out, playing video games and petting my cats.

Additional Links