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Stephen Eglen is a computational neuroscientist at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP). His research focuses on utilizing computational methods to study the development of the nervous system, particularly through the modeling of retina components in visual pathways. Eglen investigates critical questions surrounding both structural and functional development. His work seeks to understand how retinal neurons gain positional information to form circuits and explores the mechanisms by which neurons contact each other to establish functioning circuits. With a prominent academic background, Eglen has held various positions, including a Wellcome Trust Fellowship and has lectured at the School of Informatics in Edinburgh, further building a career that emphasizes the intersection of computational approaches and biological questions.
Department of Applied Mathematics and Theoretical Physics, University of Cambridge • Cambridge, England
As a Reader at DAMTP, Stephen Eglen focuses on research and teaching in computational neuroscience.
Department of Applied Mathematics and Theoretical Physics, University of Cambridge • Cambridge, England
Taught and developed courses in applied mathematics and theoretical physics with a focus on computational methods.
Department of Applied Mathematics and Theoretical Physics, University of Cambridge • Cambridge, England
Conducted lectures and guided research in applied mathematics.
University of Edinburgh • Edinburgh, Scotland
Focused on studying mathematical biology through this prestigious fellowship.
School of Informatics, University of Edinburgh • Edinburgh, Scotland
Taught courses in informatics and supervised research projects.
University of Edinburgh • Edinburgh, Scotland
Engaged in research focused on mathematical biology.
Standard postgraduate requirements for Department of Politics and International Studies (POLIS) and related humanities departments.