Applied Scientist Intern
Amazon · AGI for AWS
About & Education
Howdy! I'm Hangxiao Zhu, a Computer Science Ph.D. student in the Department of Computer Science & Engineering at Texas A&M University, where I am fortunate to be advised by Prof. Yu Zhang. My research interests center on Agent System, Data Mining, and AI for Science. I earned my Master's degree from Washington University in St. Louis under the invaluable mentorship of Prof. Alvitta Ottley. Before that, I earned my Bachelor's degree from Ohio State University. I also gained research-intern experience with Prof. Ming Yin at Purdue University.
Beyond Research
Outside of academics, I follow football, basketball (especially LeBron James), and Formula One, and I'm also interested in investing. You can often find me browsing r/OhioStateFootball, r/sixers, r/Texans, r/bengals, r/formula1, and r/wallstreetbets.
Education / Mentorship
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Ph.D. / Current
Texas A&M University
Computer Science · Advisor: Prof. Yu Zhang
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Master's
Washington University in St. Louis
Mentor: Prof. Alvitta Ottley
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Bachelor's
Ohio State University
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Research Internship
Purdue University
Mentor: Prof. Ming Yin
Work Experience
News
- — SciImpact accepted to Findings of ACL 2026.
- — MemeBridge accepted to KDD 2026, Datasets and Benchmarks Track.
Publications
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MemeBridge: A Dataset for Benchmarking and Mitigating the Bidirectional Cultural Gap in Meme Interpretation.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
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SciImpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction.
Findings of the Association for Computational Linguistics: ACL 2026.
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Inference-Time Control for Trustworthy Large Language Models.
Preprints.org manuscript.
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TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning.
CHI Conference on Human Factors in Computing Systems.
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From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis.
CHI Conference on Human Factors in Computing Systems.
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Mending Trust in AI: Trust Repair Policy Interventions for Large Language Models in Visual Data Journalism.
Master of Science thesis, Washington University in St. Louis.
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Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations.
The 2023 Conference on Empirical Methods in Natural Language Processing.
Projects
My open-source work in AI agent collaboration and everyday automation.
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Codex × ChatGPT · JEV Switch
An open-source extension of Codex with ChatGPT that uses TypeSafe's Jev model and deterministic rules to route coding tasks between Codex execution and ChatGPT planning, debugging, and review. It automates handoffs based on task complexity and risk, with configurable preferences for speed and token cost.
GitHub -
DealWeek
A local-first, open-source assistant that turns promotional emails into a weekly savings calendar, keeping offer terms and deadlines traceable to their source messages. It supports Gmail and Outlook through agent mail connectors, plus exported email files, with optional JEV classification and promotion deduplication.
GitHub