Welcome to Pol Castellano’s page!

I’m a postdoctoral researcher at Duke University and my research focuses on predictive modeling and software development for biological sciences

Computational Biology | Statistics | Data Science | Programming

Pol Castellano Escuder, Ph.D.

Pol Castellano Escuder, Ph.D.

Postdoctoral Associate

Duke Molecular Physiology Institute


I obtained my Bachelor’s degree in Biology at the University of Barcelona in June 2016 and my Master’s degree in Bioinformatics and Biostatistics at the University of Barcelona and the Open University of Catalonia (UOC) in July 2017. During that period, I conducted my research at the Sant Joan de Déu pediatric hospital in Barcelona (Spain), focusing on the discovery of epigenomic and metabolomic biomarkers in childhood obesity and diabetes phenotypes. At the end of that period, my Master’s thesis entitled “Prediction model of response to a lifestyle treatment in childhood obesity” became a European patent.

In September 2021, I obtained my Ph.D. in Biomedicine (Bioinformatics major) working in the departments of Nutrition and Metabolomics and Statistics and Bioinformatics at the University of Barcelona. During my Ph.D., my research was focused on the development of new statistical methods and the analysis of nutritional metabolomics (nutrimetabolomics) data. I gained expertise in software development, omics data analysis, ontology development, and predictive modeling using machine and deep learning algorithms. During my Ph.D., I developed an ontology named FOBI, being the first ontology in the field of nutrimetabolomics. Moreover, I developed five web applications and two R packages focusing on omics data analysis, which were published in high-impact journals in the field of bioinformatics.

I joined Duke University in October 2021 as a postdoctoral associate in Dr. Matthew Hirschey’s lab. As a postdoctoral researcher, I’m leveraging my previous training in omics data analysis, programming, and statistics to address questions about the relationships between different omics and data sources. I’m currently working on the development of new methods for multi-omics integration on cancer datasets and the development of interactive and easy-to-use web applications to serve those new methods to the scientific community.


  • Multi-omics
  • Statistics
  • Deep learning/AI
  • Software Development


  • Ph.D. in Biomedicine (Bioinformatics), 2021

    University of Barcelona

  • MS in Bioinformatics and Biostatistics, 2017

    Open University of Barcelona and University of Barcelona

  • BS in Biology, 2016

    University of Barcelona

Skills & Interests

R programming


Deep learning/AI

Shiny app development

Omics integration

Talks & Presentations