Lijinghua Zhang
Lijinghua Zhang

Lijinghua Zhang

Ph.D. candidate,
Department of Statistics,
University of California, Irvine

Email: lijinghz@uci.edu

Google Scholar ↗GitHub ↗LinkedIn ↗

About

I am a fourth-year PhD student in Statistics at the University of California, Irvine, advised by Prof. Hengrui Cai.

My research lies at the intersection of causal inference, machine learning, and natural language processing.

Research Interests

  • Causal inference: robust effect estimation with text and unstructured data
  • LLM evaluation and alignment: complex feedback and bias auditing
  • Reliable and efficient reasoning: adaptive computation and LLM-as-a-judge

Education

University of California, Irvine

2023–2028 (expected)

PhD in Statistics

Fudan University

2018–2022

Bachelor of Science in Data Science and Big Data Technology

Publication & Preprints

Google Scholar ↗

Publications

Preprints

* Equal contribution

Experience

Amazon, Applied Science Intern

Seattle, Washington, Jun – Sep 2026
  • Developed a neuro-symbolic framework for product compliance verification, evidence extraction, and root cause analysis.
  • Selected for oral presentations at two AMLC 2026 workshops: Trustworthy AI Agent and Decision Science.

Bilibili, Data Scientist Intern

Shanghai, China, Jun – Nov 2022
  • Applied entity recognition and data analysis to track trending topics and model popularity trends, alongside NLP tools for evasive advertising detection and content moderation.

Honors

  • Winner, Student Paper Competition, Section on Text Analysis, American Statistical Association, Joint Statistical Meetings (JSM), 2026
  • Graduate Dean’s Recruitment Fellowship, UC Irvine, 2023
  • 1st Place (1/100 teams), APAC Regional Datathon, Citadel Securities, 2022

Service