Scholar
Cengiz Pehlevan
Google Scholar ID: veDLTPEAAAAJ
Harvard University
Citations & Impact
Citations
3,058
H-index
31
i10-index
66
Publications
20
Co-authors
63
list available
Publications
Resume (English only)
Academic Achievements
- Ganesh named a Young NUS Fellow; Simons Collaboration on the Physics of Learning and Neural Computation; Aspen Center For Physics Winter Conference: Theoretical Physics for Artificial Intelligence; Mary's new blog post: Solvable Model of In-Context Learning Using Linear Attention; CCN 2025 presentations; ICML 2025 presentations.
Research Experience
- Leads the Pehlevan Group, whose goal is to understand the capabilities and limitations of intelligent systems through the collective dynamics of simple processing units or neurons. Research intersects with theoretical and computational neuroscience, deep learning theory, physics of learning, machine learning, statistical mechanics, and high-dimensional statistics.
Background
- Research interests include theoretical and computational neuroscience, deep learning theory, physics of learning, machine learning, statistical mechanics, and high-dimensional statistics. The goal is to elucidate the theoretical foundations of natural and artificial intelligence through the lens of neural computation.
Miscellany
- Affiliated with multiple research centers and initiatives, including the John A. Paulson School of Engineering and Applied Sciences, Center for Brain Science, Kempner Institute for the Study of Natural & Artificial Intelligence, and others.
