Applied Math + Quantitative Economics at Tufts
Quant research, factor modeling, and portfolio optimization through statistics, backtesting, and agentic AI workflows.
About
I am a first-year student at Tufts studying Applied Mathematics and Quantitative Economics, with coursework across linear algebra, game theory, data analysis, differential equations, finance, and quantitative economics.
My recent work centers on factor research, alpha signal development, portfolio optimization, and statistical modeling. I like projects where the result has to survive both a backtest and a skeptical investment argument.
Research
Conducted quantitative research in R to backtest a multi-factor investment model, comparing performance metrics and identifying drivers of alpha generation.
Produced an analytical report on the UBL factor, focusing on its predictive power and practical role in portfolio strategy.
Constructed optimizers for stock portfolios using multiple signals, regression models, and practical constraints from investment decision-making.
Studied price anchoring with a 240-participant case study across high, low, and internal anchor groups, then connected the findings to consumer valuation strategy.
Work
Quantitative Research Intern
Analyzed financial product structures, evaluated factor signals, backtested investment models in R, and built simple neural networks to support alpha signal development.
Quant Trading
Work through hedge fund interview puzzles, competition-format probability questions, and game theory dilemmas with peers.
Selected Initiative
Built a farmer-support e-commerce project that imported 1 ton of oranges from Langzhong, Sichuan to Shanghai, generating a five-figure monthly surplus while refining promotion strategy and market access for farmers.
Selected Talk
Skills
Python, R, Excel
Linear regression, XGBoost, random forests, neural networks
Factor research, backtesting, portfolio construction, screening
Linear Algebra, Calculus III, Game Theory, Differential Equations, Probability Theory
Contact
I am interested in quant research internships, factor modeling work, and projects at the intersection of markets, statistics, and applied math.