What we do and what we believe
We are a small group of uniquely qualified professionals who conduct rigorous safety research, leverage new knowledge to create safety innovations, and experimentally test safety innovations on actual construction sites. All our work has withstood the rigors of peer-review before being offered to the industry. We believe that construction workers deserve the highest standards and that 'good ideas' are simply not enough. Our position is that safety beliefs are hypotheses to be tested, not truths to be guarded.
In a world of safety celebrities, we aim to be the safety authority.
Dr. Matthew Hallowell
Dr. Matthew Hallowell is a President’s Teaching Scholar and Endowed Professor of Construction Engineering at the University of Colorado at Boulder. He earned a BS and MS in Civil Engineering and a PhD with a focus on Construction Engineering and Occupational Safety and Health. Before his academic career, he worked in construction as a laborer, project engineer, and quality inspector.
Dr. Hallowell specializes in construction safety research, with an emphasis on the science of safety. He has published extensively on energy-based hazard recognition, safety leading indicators, safety risk assessment, predictive analytics, and precursor analysis. For his research, he has received the National Science Foundation CAREER Award and the Construction Industry Institute Outstanding Researcher Award.
Dr. Antoine Tixier
Senior Research Scientist
Dr. Antoine Tixier is the tech specialist at Safety Function, leading the SafetyAI R&D activities. He earned a MS in Mechanical and Electrical Engineering, and a MS and PhD in Civil Engineering, with a focus on data-driven, quantitative construction safety. Antoine worked as a city engineer and site manager, and was trained in gas and arc welding and machining.
Prior to joining Safety Function, Antoine was a researcher and lead teaching assistant for 5 years at the computer science department of École Polytechnique in Paris, the top engineering school in France. He specialized in machine learning and deep learning for natural language processing and network analysis. Antoine has published more than 20 papers in top-tier international peer-reviewed journals and conferences, both in the construction domain and the general AI domain, and has designed and delivered close to a hundred hours of AI programming lab sessions to CS graduates.