Summary
Phil Symonds is a lecturer and researcher at UCL with 11+ years of experience at the intersection of building science, public health and decarbonisation. He leads advanced building simulation teaching and develops microsimulation and metamodelling tools that combine EnergyPlus, neural networks and high-performance computing to quantify health and energy impacts of housing interventions. His background as an STFC-funded experimental particle physics PhD student at CERN underpins a strong quantitative and coding skillset applied to large observational and simulation datasets. Phil has led and contributed to major interdisciplinary projects (EPSRC, Wellcome, NIHR) and secured PI funding for population-focused housing-health research. He collaborates with UK policy and health bodies (BEIS, GLA, UKHSA) to translate modelling into practical decarbonisation and public-health guidance. He supervises PhDs on topics such as health impacts of decarbonising the built environment, housing stock modelling and built-environment data analysis.
11 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Physics with Astrophysics, Master of Science (MS), Physics with Astrophysics at University of Leeds
Doctor of Philosophy (PhD), Elementary Particle Physics, Doctor of Philosophy (PhD), Elementary Particle Physics at Brunel University
English, French