Fernando Pozo

Fernando Pozo

Bioinformatician and Machine Learning specialist



I am a last year PhD candidate in Bioinformatics at Spanish National Cancer Research Center - CNIO Bioinformatics Unit. My current research interests include applying statistical and computing techniques to solve bioinformatics and data-driven problems. Now I am focusing my current primary research on studying the functional impact of alternative splicing at the protein level. I am also currently involved as one of the members of the GENCODE project.

From 2019, I am participating as a lecturer at the Advanced Bioinformatics subject (year 4) - B.Sc. in Biotechnology - University Francisco de Vitoria. Moreover, from 2021, I lead the Machine Learning in Healthcare subject at the B.Sc. in Data Science and Engineering - UC3M as Visiting Professor.

In my previous years as a student, I joined the study of a BSc. in Health Biology at University of Alcalá with a posterior MSc. of Bioinformatics for Health Sciences at Pompeu Fabra University and several technical specializations in statistics, programming and mathematics. I was also improving my scientific and analytics training with some internships within different environments, including the pharmaceutical industry or biotechnology research. This background has allowed me to join the PhD in Bioinformatics at Autonomous University of Madrid.

If you want to discover more abotu me, here is a more detailed CV.


  • Bioinformatics
  • Deep Learning
  • Genome annotation
  • Computational Modeling


  • PhD in Bioinformatics, 2018 - 2021

    Autonomous University of Madrid

  • MSc in Bioinformatics for Health Sciences, 2016 - 2018

    Pompeu Fabra University

  • BSc in Health Biology, 2013 - 2016

    University of Alcala



Visiting Professor

Universidad Carlos III de Madrid (UC3M)

Sep 2021 – Present
Teaching the whole subject titled “Machine Learning in Healthcare” within the last year of B.Sc. in Data Science and Engineering .


Universidad Francisco de Vitoria

Sep 2018 – Present
Instructor in Advanced Bioinformatics (B.Sc. in Biotechnology Year 4).

PhD Candidate

Spanish National Cancer Research Center (CNIO)

Mar 2018 – Present
Refining the human genome annotations and participating in projects of GENCODE, a consortium which aims to annotate all evidence-based gene features (like genes, transcripts or coding sequences) in the entire human and mouse genomes at a high accuracy.

Bioinformatics Research Internship

Spanish National Cancer Research Center (CNIO)

Sep 2017 – Feb 2018
Focusing on the creation of a Machine Learning-based algorithm to predict the functional importance of potential Alternative Splicing.

Data Analyst

Kantar Health

Jul 2017 – Feb 2018
Participating on market research projects development focus on creation, analysis and optimization of digital strategies set up by the pharmaceutical industry at the European level.

Bioinformatics Research Internship

National Center for Biotechnology - CSIC

Jan 2016 – Jul 2016
Giving support analysis of data from whole genome sequencing.


Quickly discover relevant content by filtering publications.

Peripheral Blood Mononuclear Cells Predict Therapeutic Efficacy of Immunotherapy in NSCLC

In lung cancer immunotherapy, biomarkers to guide clinical decisions are limited. We now explore whether the detailed immunophenotyping …

APPRIS: selecting functionally important isoforms

APPRIS (https://appris.bioinfo.cnio.es) is a well-established database housing annotations for protein isoforms for a range of species. …

Assessing the functional relevance of splice isoforms

Alternative splicing of messenger RNA can generate an array of mature transcripts, but it is not clear how many go on to produce …


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