Gerard Casey
Board Member at UCL
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGerard Casey is a city modelling and transport systems expert with 10+ years of experience bridging academic research and applied practice as Principal Research Fellow at UCL’s CASA and a long-standing Associate at Arup. He leads the CASA–Arup City Modelling Lab and serves on the MATSim Association board, specialising in agent-based, city-scale simulations for infrastructure scenarios and policy testing such as metro planning and road pricing. Gerard’s work focuses on enabling sustainable, equitable, and growth-friendly transport-oriented development, emphasising evidence-based modelling for enlightenment rather than post-hoc justification. Trained at Cambridge (PhD/MPhil) and with experience spanning industry, academia and early-stage renewables, he combines rigorous theory with deployable tooling to improve real-world policy decisions. An understated strength is his ability to translate complex, research-grade models into practical insights that inform major urban investment choices.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), City scale simulations with a sustainability focus, Doctor of Philosophy (PhD), City scale simulations with a sustainability focus at University of CambridgeBEng Civil Engineering, Civil Engineering, BEng Civil Engineering, Civil Engineering at Queen's University Belfast
English, French
Github Skills (94)
cml10
ruby10
transit10
post-processing10
connected-components10
command-line-utility10
package-manager10
simulation10
transport10
linux9
api9
simulator9
agent-based-simulation9
agent-based-modeling9
mesa9
Programming languages (11)
Github contributions (5)
aruptransport/aruptransport.github.io
Oct 2019 - Jan 2021
Contributions:4 pushes, 1 branch in 1 year 3 months
cb-cities/gml-explorer
Aug 2016 - Dec 2016
Contributions:26 pushes, 4 branches in 3 months
javascriptnodejstypescripttodo
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.