Summary
Marta Krzyzanska is a Decision Systems Engineer and computational archaeologist with a PhD, combining 9 years of experience in R and Python to build Bayesian models, uncertainty quantification workflows, and data pipelines. Currently at Salary Finance, she brings a research-first mindset from postdoctoral roles at Sheffield and Edinburgh where she developed Bayesian chronological models, ran formal expert elicitations, and led collaborative workshops. She is skilled in Linux, AWS, MongoDB and GIS, and has repeatedly built and administered servers and automated pipelines for social media big data and NLP-based analyses. Largely self-taught in advanced statistical and computational methods, Marta moves quickly between research, teaching, and production-focused engineering. Her work uniquely bridges cultural heritage questions and practical decision systems—e.g., modeling artifact dates and online content popularity—showing an ability to translate domain expertise into robust quantitative products. Actively transitioning to industry, she seeks roles in quantitative research or data science where uncertainty-aware modeling and reproducible workflows matter.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computational Archaeology and Ecology, Doctor of Philosophy - PhD Computational Archaeology and Ecology at University of Cambridge
University College London