Dan Schumacher

UT San Antonio. Human Centered Natural Language Processing Lab.

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I am an NLP researcher at the University of Texas at San Antonio, advised by Dr. Anthony Rios. My work explores the boundaries of LLM capability such as how models handle numerical context. It also includes human-centered studies and mechanistic interpretability.

I come from an unconventional background that heavily informs my approach to research. I began my professional life as a classical guitarist and instructor, eventually transitioning into public service at the San Antonio Central Library. While there, I managed procurement for Banned Books Week and experienced the real-world impact of information access—most notably helping a disabled patron call his mother for the first time in two years.

Driven by the desire to build better information systems, I taught myself to code while working two jobs. This led me to an M.S. in Data Analytics, where I met my advisor, Dr. Anthony Rios, who convinced me to pursue a Ph.D. and join the UTSA NLP Lab.

Research Focus

My current work centers on Context-Specific Reasoning, specifically probing how LLMs process varied data types like time series and temporal data. I am equally interested in Mechanistic Interpretability—understanding the internal “why” behind model behavior—and Human-AI Collaboration, where I study how users (particularly students) perceive and identify LLM agents in live, collaborative settings.

Selected Publications

  1. IJCNLP-AACL
    RASTeR: Robust, Agentic, and Structured Temporal Reasoning
    Dan Schumacher, Fatemeh Haji, Tara Grey, and 7 more authors
    In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, Dec 2025
  2. ArXiv
    Prompting Underestimates LLM Capability for Time Series Classification
    Dan Schumacher, Erfan Nourbakhsh, Rocky Slavin, and 1 more author
    2026
  3. ACM-SIGCSE
    AI for Everyone: Engaging Middle Schoolers through Collaborative, Ethical, and Multimodal AI Learning
    Kayleigh Stallings, Nicole Tian, Elif Yayla Ercek, and 6 more authors
    In Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, USA, 2026
  4. ACL Findings
    Telling Speculative Stories to Help Humans Imagine the Harms of Healthcare AI
    Xingmeng Zhao, Tongnian Wang, Dan Schumacher, and 2 more authors
    In Findings of the Association for Computational Linguistics: ACL 2026, 2026
    To appear

Offline

When I’m not at the Human-Centered NLP Lab, I’m usually:

  • Training and competing in dog agility with my wife and our Border Collies.
  • In the boxing ring.
  • Reading Sci-Fi novels.

Musical Background

Before my transition into research, I spent my time as a professional musician. Here are a few performances and projects:

Preludio from Alexandre Tansman’s Cavatina Suite
Cigarette Memoir
We’re Going to Be Friends
Canon in D

news

Apr 11, 2026 Happy April! Three brief updates:
  1. New Site: My professional website is officially live.
  2. Research Focus: I am currently working on two key projects. The first involves hierarchical multi-label topic modeling—developing methods to automatically build taxonomies and accurately classify documents within them. The second is the development of a specialized RAG system and chatbot tailored for astrophysicists.
  3. Daily Habit: I’ve challenged myself to 30 minutes of math study every day. It’s all about consistency.
Check back for more updates from the UT San Antonio Human-Centered NLP Lab!