Scholar
Eva L. Dyer
Google Scholar ID: Sb_jcHcAAAAJ
University of Pennsylvania, CIFAR
Citations & Impact
Citations
2,092
H-index
21
i10-index
31
Publications
20
Co-authors
43
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Aiming to create models that generalize across individuals, tasks, brain regions, and even species—models designed to reveal latent computational principles of biological intelligence; also dedicated to building open-source software and reproducible research tools to enable scientists to analyze complex time series data and neural recordings at scale.
Research Experience
- Leads the Neural Data Science (NerDS) Lab at the University of Pennsylvania, focusing on using AI technologies to understand how the brain works.
Background
- Research interests include developing machine learning tools to decode brain activity and uncover the computational principles behind intelligence and behavior.
