About Verex Fire Solutions
Scientific Research for
Next-Generation Fire Safety
Verex Fire Solutions is a world-class research laboratory advancing fire safety through physics-informed neural networks, neuromorphic computing, federated machine learning, and computational fire dynamics. Our interdisciplinary research teams publish in leading journals and develop the foundational technologies — from spiking neural network detectors to autonomous suppression orchestration — that will define the next era of fire-life-safety systems globally. Our name — a portmanteau of Verify and Expert — reflects our commitment to evidence-based, rigorously validated fire science.
Our Mission & Values
Advancing the Science of Fire Safety
Our mission is to push the boundaries of fire safety science through rigorous research, AI-driven innovation, and computational engineering. We develop next-generation detection systems, simulation models, and integrated platforms that redefine how buildings are protected — translating cutting-edge research into real-world fire safety breakthroughs.
Excellence
We hold ourselves to the highest scientific and technical standards in every research program, publication, and engineered solution — because fire safety leaves no room for compromise.
Integrity
Transparent research methodologies, rigorous peer review, and unwavering adherence to scientific principles — our reputation is built on trust.
Innovation
From AI-powered detection algorithms to computational fire dynamics simulations, we continually push the frontier of what technology can achieve in fire safety.
Partnership
We collaborate with industry leaders, academic institutions, and engineering teams — acting as a genuine research and development partner to advance fire safety globally.
Our Team
Research Leaders, Engineering Pioneers
Every member of our team holds advanced research credentials and brings deep expertise across AI, computational engineering, and fire safety science.
James Whitfield
Chief Research Officer
PhD (Fire Safety Engineering), FPAA Accredited Practitioner
Pioneering fire safety research, leading advances in AI-driven detection, computational fire dynamics, and next-generation suppression technologies.
Dr. Sarah Chen
Director of AI Research
PhD (Machine Learning), MIFireE, CPEng
Leads the AI fire detection research division, developing next-generation machine learning models for early fire event recognition and predictive analytics.
Michael Torres
Head of Computational Fire Engineering
PhD (Fire Dynamics), FPAA Accredited, CFD Specialist
Directs computational fire dynamics research and simulation programs, developing advanced CFD models for fire behaviour prediction across complex building geometries.
Rebecca Osei
Principal Fire Engineer
PhD (Structural Fire Engineering), FPAA Accredited, CPEng
Leads performance-based fire engineering research using FDS, PyroSim, and thermal finite element analysis. Specialises in structural fire response modelling, steel connection behaviour at elevated temperatures, and concrete spalling prediction.
Daniel Park
Research Programme Manager
MSc (Cybersecurity), MBA, PMP
Manages cross-divisional research programmes including federated learning for privacy-preserving fire risk intelligence and neuromorphic computing initiatives on Intel Loihi 2 hardware. Coordinates industry and academic partnerships.
Careers
Build Your Career in Fire Science
We are always looking for researchers and engineers who share our commitment to advancing fire safety science. At Verex, you will work alongside PhD-level fire engineers, AI researchers, and embedded systems specialists in a culture that values scientific rigour, innovation, and interdisciplinary collaboration.
Why Join Verex?
- Research-focused environment with publication opportunities
- Collaborative, interdisciplinary team culture
- Access to advanced simulation and AI compute infrastructure
- Conference attendance and professional development funding
- Competitive remuneration and flexible working arrangements