Haiqi (Penny) Zhang headshot

Haiqi (Penny) Zhang

Ph.D., Computer Science · The University of Texas at Arlington (Dec 2025)

Advisor: Dr. Chengkai Li · IDIR Lab

Open to ML engineer, research scientist & applied scientist roles

haiqi.zhang@mavs.uta.edu

I am a recent Ph.D. graduate from the Department of Computer Science and Engineering at the University of Texas at Arlington, where I was advised by Dr. Chengkai Li in the IDIR Lab. My research focuses on social sensing and social media surveillance, leveraging natural language processing, machine learning, and LLM techniques.

Research Interests

My research interests span natural language processing, natural language generation, and machine learning. I am particularly interested in developing intelligent systems powered by large language models (LLMs) to address real-world challenges.

My recent work explores the use of LLMs for social good, including automated taxonomy construction, truthfulness stance detection, and cherry-picking detection in news reporting. More broadly, I am enthusiastic about AI solutions that improve information understanding, facilitate knowledge discovery, and contribute to meaningful societal outcomes.

Education

Ph.D., Computer Science
University of Texas at Arlington

“Fine-Grained Understanding and Analysis of Factual Claims in Social Media and News Articles.” Thesis advisor: Dr. Chengkai Li

B.S., Computer Science
Texas Wesleyan University

Experience

Visiting Researcher
IDIR Lab, The University of Texas at Arlington
  • Investigating how different narratives affect LLMs' beliefs
Graduate Research Assistant
Computer Science and Engineering Department, The University of Texas at Arlington
Graduate Teaching Assistant
Computer Science and Engineering Department, The University of Texas at Arlington
  • Designed and evaluated hands-on projects, and graded assignments, exams, and programming tasks
  • Held office hours and online Q&A sessions to help students understand key concepts, clarify coursework, and troubleshoot project challenges
  • Supported courses: Design and Analysis of Algorithms, DBMS Models and Implementation Techniques, Programming Languages, Database Systems and File Structure
Academic Tutor
Academic Success Center, Texas Wesleyan University
  • Helped peers with C++, Data Structures, Java, x86 Assembly, HTML, College Algebra, Precalculus, Calculus, and MATLAB