I am primarily engaged as a Postdoctoral Research Fellow at the Czech Technical University in Prague, specializing in computational methods. My research focuses on probabilistic modeling and sustainability-driven assessments of ultra-high-performance concrete (UHPC) and industrial cooling towers. I integrate advanced technologies such as artificial intelligence (AI), machine learning (ML), structural reliability, and uncertainty quantification to tackle critical challenges in civil infrastructure systems.

In addition to my primary role, I work as a Bridge Designer at Valbek Group’s V-CON s.r.o in the Czech Republic, where I am involved in the design, detailing, and review of temporary structures for bridges and bridge design according to Eurocodes.

My industrial experience includes geotechnical investigations, structural design, and technical approvals across diverse engineering projects. I hold a Ph.D. in Civil Engineering from Stellenbosch University, South Africa, with a dissertation that focused on the structural reliability of UHPC structures.

I actively contribute to scholarly publications, authoring numerous articles in high-impact factor journals and presenting at international conferences and serve as a member in international associations such as The International Federation for Structural Concrete Task group 3.1 and Joint Committee on Structural Safety. My research is particularly centered on leveraging machine learning to enhance the predictability and reliability of construction materials and structural components.

For further inquiries or to discuss potential collaborations, feel free to contact me to explore possible further research opportunities and collaborations.