Stuart Lacy
Senior Research Software Engineer at University of York
York, England, United Kingdom
Summary
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Senior🎓
Top SchoolStuart Lacy is a Senior Research Software Engineer with a decade of experience applying probabilistic machine learning and Bayesian statistics to real-world scientific and clinical problems. Based in York, he builds end-to-end research software—R-heavy analytics, Python/C++ components, and R Shiny apps—that turn complex datasets into reproducible results and interactive tools. His work spans air quality evaluation (assessing Clean Air Zones) to survival and multi-state models for haematological malignancies and movement-disorder modelling from wearable sensors. He combines hands-on coding and statistical modelling with project leadership and mentoring of junior staff and students. Uniquely, his background blends a PhD in electronic engineering and evolutionary/computational intelligence research with practical production-grade medical and environmental software. He’s known for shipping research outputs that are both methodologically rigorous and directly useful to collaborators and policymakers.
10 years of coding experience
10 years of employment as a software developer
High School, High School at International School of GenevaDoctor of Philosophy Electronic Engineering, Doctor of Philosophy Electronic Engineering at University of York
English, French, German
Stackoverflow
1,993reputation
80kreached
5answers
33questions
Github Skills (73)
journal9
python9
shinydashboard9
deep-learning9
pytorch9
machine-learning9
data-science9
fsm-library9
tensorflow9
open-access8
htmlwidgets8
reactivity8
shiny8
state-machine8
missing-data8
Programming languages (12)
Github contributions (5)
wacl-york/mcm-web
Nov 2023 - Mar 2025
Code for the MCM web application
Contributions:4 reviews, 71 PRs, 100 pushes in 1 year 4 months
stulacy/multistateutils
Mar 2017 - Feb 2021
Utility funtions for parametric multi-state modelling in R
Contributions:4 releases, 226 commits, 2 PRs in 4 years
parametricmodellingstate-machinefsm-library
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