Eric Modesitt

Eric Modesitt

Eric Modesitt

Software + AI Engineer

Currently interested in learning efficiency, domain adaptation, and dataset curation

Key Achievements

Publications

Findings of ACL 2025 ā€” ORBIT: Cost-Effective Dataset Curation for Large Language Model Domain Adaptation with an Astronomy Case Study

SIGIR LiveRAG Workshop ā€” TinyUPR: Budget-Constrained Query Likelihood Reranking for the SIGIR 2025 LiveRAG Challenge

šŸŽ“ Academic Achievement

University of Illinois Urbana-Champaign

Master of Computer Science (MCS)

Bachelor of Science (BS)

šŸ’¼ Industry Impact

Capital One - Full-time Software Engineer

To be updated!

Research Focus

My work centers mainly on learning efficiency, making AI systems learn more effectively from data, and ultimately helping humans learn more efficiently from AI. Current research areas include:

  • Domain Adaptation: Specializing general AI models for specific fields
  • Dataset Curation: Efficient methods for collecting high-quality training data
  • Large Language Models: Practical applications and optimization techniques

Iā€™m fortunate to collaborate with distinguished researchers Professor Chengxiang Zhai (current mentor) and Professor Volodymyr Kindratenko (former mentor) at UIUC.

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Get In Touch

Interested in collaboration, research, or just want to chat about AI? Feel free to reach out!

šŸ“§ ericmodesitt89@gmail.com | šŸ’¼ LinkedIn | šŸ™ GitHub | šŸ“š Google Scholar

Continuously learning and building at the intersection of AI research and industry applications