Summary
Alva Presbitero is a Senior Applied Scientist based in Berlin with eight years of cross-disciplinary experience applying data science and computational modeling to smart cities, biology, and political networks. He holds a dual-PhD in Computational Science from the University of Amsterdam and ITMO University and has led technical R&D for large public-sector smart city projects in the Philippines, including agent-based simulations and epidemic and mobility modeling. At industry scale he built ML-driven revenue optimization systems and productionized semi-automated quote-approval pipelines, delivering measurable business impact. He blends rigorous academic methods—ODEs, evolutionary game theory, global sensitivity and time-series transition detection—with pragmatic software engineering to move models into operational use. Known for mentoring and cross-functional leadership, he also teaches and publishes research, bridging academia, government, and enterprise. An understated strength is his ability to translate complex dynamical models into actionable policy and product recommendations.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computational Science, Doctor of Philosophy - PhD Computational Science at University of Amsterdam
Doctor of Philosophy - PhD Computational Science, Doctor of Philosophy - PhD Computational Science at ITMO University
Philippine Science High School
Master of Science Physics, Master of Science Physics at University of the Philippines
Tagalog, English, Russian