Summary
Daniel Lewandowski is a software developer and founder with a PhD in mathematics, nine years of experience building specialized risk and statistical modelling tools and a track record of shipping scientific software across academia, healthcare and finance. He led development of unique tooling—such as Uninet for Bayesian networks and bespoke toolkits for communicable disease burden and HIV incidence funded by the ECDC—while also operating as a senior quant analyst implementing IFRS and Solvency II models at group scale. Comfortable both as an individual freelancer and within large teams, he combines deep expertise in uncertainty and sensitivity analysis with practical skills in R, Matlab, C++, Delphi, VBA and web technologies. His work often bridges structured expert judgment and data-driven modelling, a niche reflected in projects from haemophilia treatment optimization to enterprise provisioning systems. Based in Poland, he now focuses on freelance projects that merge biostatistics, environmental and financial data collection with robust scientific programming.
9 years of coding experience
3 years of employment as a software developer
Electronics, Electronics at Technical High School of Zielona Góra, Poland
MSc, Mathematics, MSc, Mathematics at Uniwersytet Zielonogórski
MSc, Mathematics, MSc, Mathematics at Delft University of Technology
English