Miguel Luque

Teaching Assistant at King's College London

London, England, United Kingdom
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Summary

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Senior
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Miguel Luque is a Physics PhD student and Teaching Assistant at King's College London with 11 years of research, teaching, and society leadership experience across quantum materials, computational physics, and epidemiological methods. He specializes in first-principles approaches to transport in topological and quantum materials, pairing deep theoretical knowledge with practical coding and software development skills. Beyond his doctoral work, Miguel has applied quantitative methods to experimental particle physics and epidemiology—building SQL databases for muon g-2 analyses and studying causal inference in cancer epidemiology. He has a track record of mentoring and community-building, having co-led a major student society rebrand, organized large events, and grown online communities to 250+ users. Comfortable translating complex concepts for students and collaborators, he bridges interdisciplinary teams and brings both academic rigor and product-minded execution to research projects. Colleagues describe him as a problem-solver who thrives where theory, data, and software intersect.
code12 years of coding experience
job1 year of employment as a software developer
bookMPhys (Honours), Physics with Theoretical Physics, First Class with honours, MPhys (Honours), Physics with Theoretical Physics, First Class with honours at The University of Manchester
bookBachillerato, PHYSICAL SCIENCES, 9.7/10 (Honours), Bachillerato, PHYSICAL SCIENCES, 9.7/10 (Honours) at IES Emilio Prados
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at King's College London
languagesSpanish, English, French, Italian
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Stackoverflow

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Github Skills (7)

stata10
monte-carlo9
simulation9
ensemble-learning8
causal-inference7
visualization7
web-application1

Programming languages (4)

RTeXStataJupyter Notebook

Github contributions (5)

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Contributions:73 commits, 67 pushes, 1 branch in 2 years 1 month
Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial
Contributions:1 release, 27 commits, 8 pushes in 6 months
causal-inference
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