Felipe Nuñez Villena

Felipe Nuñez Villena, PhD, has a diverse background in computational biology and biomarker research. Felipe most recently worked at InveniAI as a Computational Biologist, where they developed a Python-based workflow for RNA-seq analysis and performed differential expression analysis using various tools. Prior to that, Felipe worked as a Biomarker Scientist at Novigenix SA. Felipe also has extensive experience at ETH Zürich, where they served as a Postdoctoral Research Scientist and a PhD Student. During their time at ETH Zürich, Felipe applied a systems biology approach to study the molecular mechanisms of pancreatic beta cell proliferation and led collaborative projects with bioinformaticians and computer biologists.

Felipe Nuñez Villena, PhD, completed their education in a variety of fields. Felipe began by earning a Bachelor's degree in Biochemistry from the Universidad Andres Bello between 2005 and 2011. Following this, they pursued a Doctor of Philosophy (PhD) degree in Molecular Translational Biomedicine at ETH Zürich from 2013 to 2018. In terms of additional certifications, Felipe obtained the "LTK Module 1: Introductory Course in Laboratory Animal Science" from the University of Zürich in March 2012. Felipe also completed the "Introduction to bioconductor in R" certification from DataCamp in December 2018. Additionally, Felipe holds certifications from Kaggle, including "Introduction to machine learning" obtained in October 2021 and "Intro to SQL" obtained in June 2022. As of the provided information, Felipe is currently engaged in studies at DataCamp, although the specific degree and field of study remain unspecified.