CV

Graduate Research Assistant

University of Minnesota Twin Cities

Graduate Research Assistant since Summer 2026. Advisor: Prof. Liyan Xie

• Develop statistical and coding-theoretic methods for provenance, edit detection, and integrity verification of watermarked LLM outputs.
• Led an ECC-based post-generation edit detection project accepted to EMNLP 2026 Findings, spanning method design, implementation, experiments, visualization, and manuscript preparation.
• Extended the framework to local integrity checking, using error-correcting structure to verify where and how watermarked outputs have been modified.
• Study watermarkability across language models and methods for improving compatibility with logit-based watermarks.
• Develop uncertainty-aware sequential and agentic generative models, robust inference for delayed point processes, and physics-informed statistical learning methods.

Teaching Assistant

University of Minnesota Twin Cities

Research Assistant

Chicago Booth School of Business, University of Chicago

• Worked with Prof. Dacheng Xiu on financial-text forecasting using BERT, LLaMA, and T5 representations with regression models for return and debt-related prediction.

Machine Learning Capstone

Alliant Credit Union / UChicago Data Science Institute

• Contributed to a client-facing machine-learning model development project with Alliant Credit Union.

Ph.D.

University of Minnesota Twin Cities

Industrial and Systems Engineering

• Expected graduation: Dec 2028
• Advisor: Prof. Liyan Xie

M.S.

University of Chicago

Applied Data Science

B.S.

University of Illinois Urbana-Champaign

Statistics

• Minors in Computer Science and Economics
• Highest Distinction in Statistics

Highest Distinction in Statistics

University of Illinois Urbana-Champaign

Dean's List

University of Illinois Urbana-Champaign

Fall 2020; Spring 2021; Fall 2021; Spring 2022; Fall 2022; Spring 2023

Honorable Mention

COMAP Mathematical Contest in Modeling