Scholar
Adam Davies
Google Scholar ID: vqkOH7gAAAAJ
PhD Candidate, University of Illinois Urbana-Champaign
Citations & Impact
Citations
102
H-index
7
i10-index
4
Publications
14
Co-authors
0
Publications
Resume (English only)
Research Experience
- Works as a research assistant with the INVITE institute at UIUC. Frequently collaborates with the Torr Vision Group at the University of Oxford. Completed a research internship with the Neurocompositional AI team in the Deep Learning Group at Microsoft Research in Summer 2025.
Education
- PhD candidate at the Siebel School of Computing and Data Science, UIUC, co-advised by Professors ChengXiang Zhai and Julia Hockenmaier.
Background
- CS PhD candidate at UIUC. Research vision is to help build the foundations of a cognitive science of AI, studying how foundation models like LLMs learn, represent, and process information. Focuses on interpreting and controlling the features learned and leveraged by these models, and applying such knowledge/methods to predict and improve models' generalization to novel contexts. Current research intersects primarily with NLP, (mechanistic) interpretability, cognitive science, OOD generalization, and causal machine learning; also has ongoing collaborations in synthetic data, multimodal representation learning, computational social science, and AI for education.
Co-authors