Sole-author, peer-reviewed
Monte Carlo study reducing bias and variance in Detrended Fluctuation Analysis — used across econometrics, biomedical signals and climate research.
GRUENCY / Quantitative research
Econometrics, time-series analysis, Monte Carlo simulation and forecasting — the same methodology Sebastian published sole-author in Physica A (Elsevier) and applied at the National Bank of Poland, available for client problems that have to survive scrutiny.
Monte Carlo study reducing bias and variance in Detrended Fluctuation Analysis — used across econometrics, biomedical signals and climate research.
Cash-circulation optimisation and economic modelling at Poland's central bank.
Contribution to Econometrics and Operations Research — PWN Polish Scientific Publishers.
Econometrics and finance-adjacent problems by background — and any domain with hard time-series, simulation or estimation questions by method.
Yes — the methodology standard is the one Sebastian publishes under himself: reproducible code, explicit assumptions, written reasoning.
Standard NDA on request; findings and code belong to you. The practice trades on judgement, not on your data.
Describe the question, the data and the decision behind it. Sebastian answers every enquiry personally — within two working days.
Prefer email? [email protected]