Summary
Michalis Palaiokostas is a data scientist and Ph.D. researcher with 11 years of experience applying numerical modelling, simulations and data analysis across diverse scientific domains from environmental pollution to drug delivery and nanotechnology. He excels at turning messy experimental and simulation data into clear visualizations and actionable insights using Python, MATLAB, Bash and Excel. Comfortable bridging research and practical solutions, he enjoys organizing complex problems, discovering hidden patterns and building reproducible analysis pipelines. His background combines deep quantitative rigour with hands-on coding, enabling rapid prototyping of models and scalable workflows. Based in Stony Stratford, UK, he brings versatility and curiosity to interdisciplinary teams that need both modelling expertise and production-capable analysis. An unconventional strength is his ability to translate domain-specific science into generalizable numerical methods that accelerate discovery.
11 years of coding experience