Conor Houghton

Reader In Mathematical Neuroscience

Greater Bristol Area, United Kingdom
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Summary

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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.
code11 years of coding experience
bookPhD, Theoretical Physics, PhD, Theoretical Physics at University of Cambridge
bookBSc / MSc, Mathematical Science, BSc / MSc, Mathematical Science at University of Galway
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Github Skills (11)

neuroscience10
computational-neuroscience10
computational-science10
python9
science9
computer-science9
algorithms5
mathematics5
machine-learning4
textbook4
fundamentals3

Programming languages (4)

TeXJavaScriptHTMLJupyter Notebook

Github contributions (5)

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conorhoughton/COMS30127

Jan 2015 - Jan 2018

Bristol Computer Science computational neuroscience course.
Contributions:323 commits, 2 PRs, 279 pushes in 3 years
neurosciencepythonbristolsciencecomputational-neuroscience
Contributions:319 pushes, 1 branch in 8 years 1 month
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