Scholar
Dr Danyal Akarca
Google Scholar ID: eQuCV80AAAAJ
Computational Neuroscience & AI, Imperial College London & University of Cambridge
Citations & Impact
Citations
556
H-index
13
i10-index
17
Publications
20
Co-authors
13
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Awarded a joint Imperial College Research Fellowship and Schmidt Sciences Fellowship in 2024, along with a Nature Computes Better Opportunity Seed from the UK’s Advanced Research and Invention Agency (ARIA). His work has been featured by the University of Cambridge and Nature Machine Intelligence.
Research Experience
- Currently leads a growing team at Imperial College London, focusing on discovering shared principles of efficient intelligence between natural and artificial systems. Conducted doctoral research at the University of Cambridge and has a background in neurosurgery and neuroanatomy.
Education
- Completed his PhD at the University of Cambridge at the Cognition and Brain Sciences Unit in 2023, previously trained as a medical doctor with a research focus on neurosurgery and neuroanatomy.
Background
- Leads a growing group at Imperial College London aiming to discover shared principles of efficient intelligence between natural and artificial systems. Primary interests include: building neural networks operating in the context of spacetime constraints, understanding how deep multi-scale heterogeneity and asynchrony widen the expressivity of possible architectures and computational primitives, instantiating energy-efficiency and systems-level principles common in nature within scalable AI architectures, understanding the early stages of human neural and cognitive development through constructivist simulation, and using network science and dynamical systems theory to improve AI safety and interpretability.
Miscellany
- Building a startup in stealth mode. Interested in joining the team? Contact via email.
