Curriculum Vitae
Academic and professional history.
Professional Experience
Special Education Geometry Teacher
September 2026 - Present Lyndhurst High School, Lyndhurst, NJ
Teach Geometry in a special education setting using differentiated instruction, visual learning tools, and scaffolded problem-solving activities while supporting students' individualized academic goals and progress in the general education curriculum.
Adjunct Professor
September 2026 - Present Kean University, Union, NJ
Teach undergraduate courses in derivatives and machine learning within the Department of Accounting and Finance, integrating financial theory, applied quantitative methods, Python-based analysis, and practical model interpretation.
AP Research Instructor
June 2026 - July 2026 Kean University, Jersey City, NJ
Taught AP Research with a focus on research design, quantitative research methods, and academic inquiry while guiding students through the development of independent research projects.
Mathematics Instructor
Dec 2025 - June 2026 Technology High School, Newark, NJ
Taught Algebra II and Statistics, designed original assessments and instructional materials, and integrated technology and data literacy into mathematics instruction.
Education
Master of Science in Financial Engineering
2019 – 2022 Stevens Institute of Technology
Specialized in quantitative finance, fixed-income modeling, statistical learning, and financial data analysis.
Thesis: Methods on the Estimations of SOFR Term Structures
Bachelor of Economics in Finance
2015 – 2019 Changsha University of Science and Technology
Focused on financial economics, investment analysis, quantitative finance, and economic theory.
Bachelor of Engineering in Civil Engineering
2015 – 2019 Changsha University of Science and Technology
Developed a strong foundation in engineering mathematics, mechanics, structural analysis, and quantitative problem-solving.
Skills
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Machine Learning & Explainable AI
- Statistical Modeling
- Educational Data Mining
- Learning Analytics
- Financial Data Science
- Quantitative Finance
- Time Series Analysis
- Knowledge Graphs
- Python (PyTorch, Scikit-learn, XGBoost)
- LaTeX & Git
Professional Summary
Mathematics educator, adjunct professor, and interdisciplinary AI researcher with experience spanning secondary education, university teaching, educational data science, and quantitative finance. My work applies large language models, interpretable machine learning, and statistical methods to transform complex educational and financial data into transparent, reproducible, and decision-relevant evidence.