Conor Houghton is a Reader in Mathematical Neuroscience at the University of Bristol with over a decade of experience applying theoretical physics and mathematical methods to neural data. Trained with a PhD in Theoretical Physics from the University of Cambridge and degrees in Mathematical Science from University of Galway, he blends rigorous analytical foundations with interdisciplinary neuroscience research. His work spans computational modeling, information theory in neural systems, and quantitative analysis—evidenced by a long publication list hosted on his papers page. Based in the Greater Bristol Area, he frames scientific questions with a linguistic curiosity hinted at by his GitHub bio question, "What is language for?" Beyond academia, he has a knack for making complex theoretical ideas accessible and applicable to real neural-data problems.
11 years of coding experience
PhD, Theoretical Physics, PhD, Theoretical Physics at University of Cambridge
BSc / MSc, Mathematical Science, BSc / MSc, Mathematical Science at University of Galway
Contributions:4 commits, 32 pushes, 1 branch in 1 year 4 months
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Conor Houghton - Reader In Mathematical Neuroscience