// Hello, world! I'm
A Psyduck from UC Berkeley 🐥 — waddling through data, building ML models, and occasionally suffering from a statistical headache. Passionate about turning messy numbers into beautiful insights.
I'm a first-year M.A. Statistics student at UC Berkeley, with a deep interest in the intersection of statistical modeling, machine learning, and quantitative finance. My academic journey began at Zhejiang University where I graduated with honors in Economics (Advanced Class).
During internships at leading Chinese financial institutions, I applied gradient-boosting models and network analysis to build alpha-generating strategies and equity research pipelines. I thrive at turning raw, messy data into rigorous, interpretable models.
Outside of research, I served as President of the League of Economics School at Zhejiang University, organizing academic events and fostering a community of 500+ students.
Guotai Haitong Securites
SDIC Securities
League of Economics School, Zhejiang University
Built a production-ready Retrieval-Augmented Generation pipeline that enables intelligent company discovery by semantically searching and ranking firms based on complex natural-language queries. Integrated vector embeddings, document store, and LLM-based summarization.
Applied robust optimization methods — including worst-case and distributionally robust formulations — to Chinese equity (CNE5) factor portfolios. Investigated how parameter uncertainty propagates into portfolio weights and risk-adjusted returns.
Empirical research examining how investor limited attention — proxied through internet search volume indices — affects asset pricing in capital markets. Constructed panel datasets linking search trends to stock-level return anomalies.
A rigorous game-theoretic analysis of sequential allocation mechanisms, exploring backward induction and optimal stealing heuristics in a continuous uniform distribution.
A comprehensive set of study notes for STAT 201B at UC Berkeley, covering Bootstrap, MLE, Bayesian inference, and decision theory.
University of California, Berkeley
Focusing on statistical theory, machine learning methodology, and applied probability. Engaged in research at the intersection of statistics and data science.
Zhejiang University
Enrolled in the selective Advanced Class program. Graduated as an Outstanding Graduate with multiple top-tier scholarships.
I'm actively looking for data science, machine learning, and quantitative research roles. Whether you have a full-time opportunity, an internship, or just want to chat about interesting problems — my inbox is always open.
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