Education, selected work, and technical foundations.
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Profile
Czech informatics student building toward quantitative finance through reproducible research, financial models, market data, and research software. Current public work emphasizes explicit status, exact contribution, deterministic methods, and honest limitations.
Education
Bachelor’s studies in Informatics
CurrentComputer science and information-systems foundation with current emphasis on mathematics, probability, data analysis, research engineering, and quantitative finance.
Academic year at the University of Wisconsin–Madison
2025–2026Coursework across finance, economics, financial modeling, industrial engineering, and computer science.
Technical secondary education in Information Technology
CompletedTechnical foundation in information technology within an electrical-engineering environment.
Selected projects
Volatility Cascade Engine
Mar 2026 · reproduced Jul 2026Built a deterministic simulation of leverage, margin thresholds, forced liquidations, and price impact across six synthetic funds and five synthetic assets; published methods, scenario data, validation checks, limitations, and a tagged report.
Documented and revised parts of a public Merkle/Poseidon prototype. Public contribution history includes source cleanup, explicit warnings around placeholder cryptographic parameters, and narrower documentation of what the prototype does and does not prove.
Technical skills
Current research direction
Market-data quality, volatility and liquidity, portfolio survival, financial econometrics, model risk, and the infrastructure needed to make analytical work reproducible.
Languages and interests
Languages: Czech (native), English (advanced), German (elementary; developing).
Interests: aviation, high mountains, complex engineering systems.