I am a third-year Ph.D. student at The University of Texas at Austin advised by Professor Junyi Jessy Li.

My research interests lie in evaluating and developing AI systems to be used in expert and high-stakes domains. I am particularly interested in research surrounding AI for Science and the ability to learn tacit knowledge inherent within niche fields. I also aim to build effective and responsible AI applications, ensuring that AI-generated content is factual and understandable while guarding against side effects such as over-reliance and skill erosion.

Industry Experience

adobe logoResearch Scientist/Engineer Intern, Adobe Research, Summer 2025 & Summer 2026

Education


ut logo


Ph.D. in Computer Science
University of Texas at Austin | 2024 - Present

M.S. and B.S. in Computer Science | Minor in Business
University of Texas at Austin | 2019 - 2024

Publications

VESTA: Visual Exploration with Statistical Tool Agents

William Rudman, Abhishek Divekar, Kanishk Jain, Sebastian Joseph, Stella S. R. Offner, Matthew Lease, Kyle Mahowald, Greg Durrett, Junyi Jessy Li

NeurIPS 2026 Code ArXiv

LinkNav: Surfacing Interconnected Information in Scientific Articles

Sebastian Joseph, Jennifer Healey, Junyi Jessy Li, Ani Nenkova

ACL 2026 System Demonstrations PDF ArXiv

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine

Sebastian Joseph, Lily Chen, Barry Wei, Michael Mackert, Iain J. Marshall, Paul Pu Liang, Ramez Kouzy, Byron C. Wallace, Junyi Jessy Li

ACL 2026 Findings Code/Data ArXiv

AstroVisBench: A Code Benchmark for Scientific Computing and Visualization in Astronomy

Sebastian Joseph, Syed Murtaza Husain, Stella S. R. Offner, Stéphanie Juneau, Paul Torrey, Adam S. Bolton, Juan P. Farias, Niall Gaffney, Greg Durrett, Junyi Jessy Li

NeurIPS 2025 Benchmark and Dataset Track Website ArXiv

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence

Sebastian Joseph*, Lily Chen*, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C Wallace, Junyi Jessy Li

ACL 2024 Main Long Paper Code ArXiv OpenReview

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li

ACL 2024 Main Long Paper Code ArXiv OpenReview

Multilingual Simplfication of Medical Texts

Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li

EMNLP 2023 Main Long Paper Code ArXiv OpenReview

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)

Chantal Shaib, Millicent Li, Sebastian Joseph, Iain Marshall, Junyi Jessy Li, Byron Wallace

ACL 2023 Main Short Paper Code ArXiv

Workshop Papers

Generating Edit-Inducing Questions for AI Research Manuscripts

Sebastian Joseph, Zichao Wang, Jennifer Healey, Alexa Siu, Junyi Jessy Li, Ani Nenkova

DocInsights Workshop @ EMNLP 2026 ArXiv

Preprints

AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot

Joydeep Biswas, Sheila Schoepp, Gautham Vasan, Anthony Opipari, Arthur Zhang, Zichao Hu, Sebastian Joseph, Matthew Lease, Junyi Jessy Li, Peter Stone, Kiri L. Wagstaff, Matthew E. Taylor, Odest Chadwicke Jenkins

ArXiv