// geotechnical engineer · AI & machine learning specialist
// rail infrastructure · monitoring · data-driven geomechanics
Proven record applying AI techniques to complex geotechnical problems. Focused on enhancing infrastructure resilience and performance through data-driven insights.
// experience
Researcher and advisor in the Safe and Resilient Infrastructure department, working across railway embankment stability, geotechnical data interpretation, and applied machine learning. Core contributor to RESET, a multi-year research programme with ProRail and TU Delft, developing improved soil strength frameworks and running large-scale PLAXIS parametric studies through Python API automation. Developed and published SchemaGAN, a conditional GAN for automated subsurface schematisation from CPT data (Computers and Geotechnics, 2025), and co-developed GeoSyn for synthetic geotechnical data generation. Builds Python data pipelines and interactive analysis tools for project teams and clients, and develops monitoring workflows for fibre-optic sensing systems on railway infrastructure.
Led probabilistic slope stability and landslide hazard studies for municipalities, infrastructure clients, and communities across Costa Rica, combining field investigation, laboratory testing, GIS-based hazard mapping, and limit-equilibrium analysis. Provided post-event field assessment to the National Emergency Commission following Hurricane Otto (2016), supporting evacuation and return-to-site decisions in affected mountain areas. Applied bearing capacity, settlement, and back-analysis methods to site-specific instability problems across urban and road infrastructure settings.
Provided geotechnical risk advisory for infrastructure and community instability problems across South America, working in multidisciplinary teams with engineers, policy-makers, and risk specialists. Projects spanned post-landslide risk assessment at the Quito Metro construction site in Ecuador, a multi-phase technical engagement on the Kantutani urban landslide for the La Paz Municipality in Bolivia, and a full landslide catalogue and risk assessment for an active mountain road corridor in Salta Province, Argentina.
Lectured in geology fundamentals and introduction to geotechnics at undergraduate level, covering laboratory practice, in-situ testing, and field applications. Served on thesis committees for licentiate dissertations on landslide probability, slope stability, and hydrogeology.
Provided technical feedback on geotechnical analysis features during software development cycles and contributed to the internal training programme for new users.
// education
Geo-Engineering
Delft University of Technology, Netherlands
Geomechanics
// Cum LaudeInternational Geotechnical Center
Geology
// With HonorsUniversity of Costa Rica
// skills
// professional
// technical
// languages
// contact
Available for opportunities in geotechnical engineering, AI applications in geomechanics, and infrastructure resilience.