Summary
Anton Solomko is a Lead Catastrophe Modeller and PhD mathematician with eight years of experience translating deep theoretical knowledge in dynamical systems, ergodic theory and probability into production-grade stochastic and machine learning models for cyber and financial risk. At Envelop Risk he has progressed from Data Scientist to Lead, developing probabilistic ML, efficient stochastic simulation at scale, and research on systemic cyber catastrophes for insurers and reinsurers. His academic work on slow–fast deterministic-stochastic systems and statistical properties of chaotic dynamics informs a rare combination of rigorous analytical thinking and practical model-building. Comfortable across Python, C/C++, SQL and deep learning frameworks, he blends research-grade mathematics with hands-on engineering to deploy models in big-data environments. A persistent coder since schooldays and an invited speaker and reviewer in the mathematical community, he brings clear communication and pedagogy to complex quantitative problems.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at National Academy of Sciences of Ukraine
Master of Science - MS Mathematics and Computer Science, Master of Science - MS Mathematics and Computer Science at V. N. Karazin Kharkiv National University
Ukrainian, English, Italian, Russian