Disaster Resilience Analyst at Delft University of Technology
Delft, South Holland, Netherlands
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Summary
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Top School
Mikhail Sirenko is a computational modeller and disaster resilience analyst with over eight years of experience applying math, statistics and simulation to urban challenges such as climate-driven extreme heat, disease spread, inequality and accessibility. He combines rigorous academic training (PhD in Computational Urban Science) with practical delivery of open-source decision-support tools and visualisations used to inform policy from municipal levels to the European Commission and the World Bank. Comfortable leading interdisciplinary teams, he translates uncertainty-aware research into actionable policy insights and hands-on tools. Based in Delft, he blends university research roles with applied policy work, uniquely bridging theoretical modelling and implementation in international development contexts. An often-overlooked strength is his track record of making complex stochastic models communicable and usable for non-technical stakeholders.
7 years of coding experience
3 years of employment as a software developer
Doctoral Studies, Mathematical Modelling, Numerical Methods and Program Complexes, Doctoral Studies, Mathematical Modelling, Numerical Methods and Program Complexes at Tomsk State University
TU Delft
Doctor of Philosophy, Computational Urban Science, Doctor of Philosophy, Computational Urban Science at Delft University of Technology
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