Summary
Marco Marconi is a Senior Scientist and seasoned computational biologist with over a decade of academic research in bioinformatics and 12 years of professional experience spanning Italy, Spain, the USA and Germany. A long-time programmer (>20 years) fluent in Python, R and C++, he applies Bayesian statistics, probabilistic programming (Stan), and machine learning to problems ranging from plant development modeling to pharmacological and financial time-series analysis. His career bridges industry and academia — from data roles in banking to PhD-led projects on fungal genomics and MS patient response modeling, and recent work at Bristol Myers Squibb on cutting-edge biological data analysis. He combines expertise in high-performance cluster workflows and algorithmic trading concepts, an unusual cross-domain blend that helps translate complex probabilistic models into production-ready analyses. Active in the research community, his publications and tutorials (e.g., Analysis of Financial Time Series in Stan) reflect a practical focus on reproducible, statistically rigorous solutions.
12 years of coding experience
10 years of employment as a software developer
Master's Degree in Bioinformatics and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology, Master's Degree, Master's Degree in Bioinformatics and Computational Biology, Biomathematics, Bioinformatics, and Computational Biology, Master's Degree at Universidad Complutense de Madrid
high school, Mathematics and Computer Science, high school, Mathematics and Computer Science at ITIS Enrico Fermi Desio
Master's degree, Computer Science, 110 cum laude, Master's degree, Computer Science, 110 cum laude at Università degli Studi di Milano-Bicocca
Erasmus, Computer Science, Erasmus, Computer Science at Maynooth University
Doctor of Philosophy - PhD, Biotechnology, Ph.D. in Biotecnology, Doctor of Philosophy - PhD, Biotechnology, Ph.D. in Biotecnology at Universidad Politécnica de Madrid