Summary
Yinxiu Zhan is a researcher and data science leader based in Milan with a decade of experience integrating genomics and microscopy data into biologically actionable insights. Currently Head of Bioinformatics and Data Science at IEO and a tenure-track researcher at the University of Milan, she combines hands-on expertise in high-performance computing, Nextflow pipelines and Illumina/ONT sequencing workflows with advanced skills in Python, R and TensorFlow. Her work spans whole-exome and single-cell multiome analysis, multi-omics integration (ChIP-seq, ATAC-seq, 3C) and physical modelling using stochastic methods and Monte Carlo simulations. She builds interactive analysis dashboards (Shiny/Streamlit) and production-ready pipelines on Slurm/PBSPro, enabling reproducible, scalable genomics research. Trained originally in condensed matter physics, she brings a quantitative, model-driven perspective to biological data interpretation that often reveals mechanistic insights overlooked by standard pipelines.
10 years of coding experience
2 years of employment as a software developer
University of Milan
Summer School Atomic/Molecular Physics simulation, Summer School Atomic/Molecular Physics simulation at Scuola Internazionale Superiore di Studi Avanzati di Trieste
Italian, English, Chinese