My career began in the field, working as a Hydrologist and Drainage Design Engineer, where I gained firsthand experience in floods, extreme rainfall, infrastructure vulnerability, and the real-world consequences of climate variability. I later returned to the University of Santo Tomas to teach and mentor young engineers, a role that strengthened both my technical grounding and my commitment to resilience-focused research.

Over time, my professional path expanded beyond engineering into research, data science, and climate risk. Through projects across Asia and international collaborations, I’ve worked on themes such as:

• AI-powered hydrological and catastrophe modelling

• Extreme weather and hazard forecasting

• Nature-based solutions and multi-criteria risk analysis

• Climate-economy-health impact modelling

• Data-driven evaluation in climate finance and policy

I have consulted for global organizations and various development and research institutions, working at the intersection of science, policy, engineering, and analytics. These experiences deepened my understanding of how climate hazards translate into physical, economic, and systemic risks.