David Van Dyk
Professor Of Statistics
United Kingdom
Summary
👤
Senior🎓
Top SchoolDavid Van Dyk is a Professor of Statistics with 16 years of senior academic experience, currently at Imperial College London, who specializes in Bayesian methods for highly structured models and computationally intensive inference. He leads interdisciplinary astro-statistics efforts—coordinating the California-Harvard AstroStatistics Collaboration—and applies EM-type algorithms and advanced MCMC to data from facilities like the Chandra X-ray Observatory. His work spans astronomy, particle discovery, and solar physics, and he contributes to applied software such as Bayesian stellar-evolution tools. Previously Head of Mathematics at Imperial and faculty at UC Irvine and Harvard, he combines deep theoretical training (PhD, University of Chicago) with practical modeling of massive, high-cadence scientific datasets. Based in the UK, he brings a rare blend of statistical rigor and domain fluency that helps astronomers and physicists turn complex observational data into testable scientific inferences.
16 years of coding experience
7 years of employment as a software developer
Harvard UniversityDoctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of ChicagoBachelor of Arts (BA), Mathematical Statistics and Probability, Bachelor of Arts (BA), Mathematical Statistics and Probability at Michigan State University
Github Skills (40)
markov-chain10
particle-physics10
coefficients10
hierarchical-clustering10
high-energy-physics10
matching10
python-api10
observables10
clustering10
python9
physics9
scale9
cython9
monte-carlo9
eos9
Programming languages (7)
Github contributions (5)
wcxf/wcxf-bases
Apr 2018 - Jun 2021
Repository for EFT and basis definition files
Contributions:3 reviews, 4 commits, 4 PRs in 3 years 1 month
basisdefinitioneft
eos/homebrew-eos
Apr 2018 - Aug 2024
Contributions:1 release, 18 pushes, 2 branches in 6 years 5 months
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