Dan Short
Onboarding Consultant at CMap
Manchester, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDan Short is an onboarding consultant based in Manchester with 14 years of technology experience, recently transitioning from six years as a Technology Consultant and Senior Technology Consultant at EY to a client-facing role at CMap. He blends hands-on engineering with client enablement, helping organisations adopt and scale digital solutions while translating complex technical requirements into practical onboarding processes. His open-source contributions include backend work on the well-regarded OpenMC Monte Carlo code, where he improved custom source flexibility through a parameterized serialization mechanism. That mix of consultancy and code gives him a rare perspective: he can both implement technical features and ensure they are adoptable by non-technical stakeholders. Educated at Ada, the National College for Digital Skills, he focuses on pragmatic, auditable solutions that reduce friction during product rollouts. Colleagues describe him as detail-oriented and quietly effective at turning technical complexity into clear, repeatable onboarding workflows.
14 years of coding experience
St Mary’s Catholic SchoolBachelor's degree, Digital & Technology Solutions, Bachelor's degree, Digital & Technology Solutions at Ada, the National College for Digital Skills
Github Skills (15)
simulations10
simulation10
computational-physics10
c-language10
cprogramming-language10
monte-carlo10
openmc10
nucleo9
xml9
cmake8
cluster-computing8
accelerated-computing8
scientific-computing8
high-performance8
parallel-computing8
Programming languages (4)
Github contributions (5)
openmc-dev/openmc
Jul 2020 - Aug 2020
OpenMC Monte Carlo Code
Role in this project:
Backend Developer
Backend DeveloperContributions:2 reviews, 24 commits, 1 PR in 28 days
Contributions summary:Dan's contributions center around enhancing the custom source functionality within the OpenMC Monte Carlo code. They implemented a mechanism to load and utilize custom source data through a serialized (parameterized) approach, improving flexibility. This involved adding features to load the custom source, allowing the use of parameters, and creating an example to demonstrate functionality. Their work improved the user's ability to define flexible source parameters.
computational-physicsnuclear-energyopenmcnuclear-fusionnuclear-engineering
DanShort12/parametric-plasma-source
Oct 2020 - Feb 2024
Contributions:2 PRs, 46 pushes, 11 branches in 3 years 4 months
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