Fernando Pozo, PhD

Fernando Pozo, PhD

Chief Operating Officer

Spika Tech

Biography

If you are looking for a summary of my professional journey beyond the links on the left (LinkedIn, Google Scholar or GitHub, maybe), here are the highlights:

  • Since 2018, I have been contributing to the annotation of the human genome in collaboration with institutions like MIT, Stanford University, King’s College or Yale University. My AI model for predicting functional protein annotations remains in active use by the community. Check it out here.
  • I completed my PhD at the Spanish National Cancer Research Centre (CNIO) within the Bioinformatics Unit.
  • I designed and implemented from scratch the first Machine Learning in Healthcare course ever taught at a Spanish university in 2021 at Universidad Carlos III de Madrid.
  • Between 2022 and 2025, I have led a project under the EIC Accelerator framework focused on AI algorithms-driven arrhythmia prediction. Some info here.
  • In 2024, I was appointed by the Spanish Ministry of Defense to represent Spain at NATO, specializing in Explainable AI for complex autonomous systems.
  • I have served as a lecturer in AI, bioinformatics, and computational methods at UCM, U. Francisco de Vitoria, UC3M, Universidad Europea, and U. Camilo José Cela.

Interests

  • Artificial Intelligence
  • Strategic Leadership
  • Innovation
  • Bioinformatics

Education

  • PhD in Bioinformatics and Machine Learning, 2018 - 2023

    Autonomous University of Madrid

  • MSc in Bioinformatics for Health Sciences, 2016 - 2018

    Pompeu Fabra University

  • BSc in Health Biology, 2013 - 2016

    University of Alcala

Experience

 
 
 
 
 

Chief Operating Officer

Spika Tech

Mar 2023 – Present
Working closely with our executive leadership team to ensure that our internal processes, infrastructure, and resources are optimized to deliver the best possible value.
 
 
 
 
 

Machine Learning Engineer

Spika Tech

Oct 2022 – Mar 2023
Working on the VR-CARDIO project, which aims to revolutionize the way cardiovascular disease is diagnosed and treated.
 
 
 
 
 

Visiting Professor

Universidad Carlos III de Madrid (UC3M)

Sep 2021 – Jun 2022
Teaching the whole subject titled “Machine Learning in Healthcare” within the last year of B.Sc. in Data Science and Engineering .
 
 
 
 
 

Lecturer and Subject Coordinator

Universidad Francisco de Vitoria

Sep 2018 – Sep 2022
Subject: Advanced Bioinformatics (B.Sc. in Biotechnology Year 4).
 
 
 
 
 

Bioinformatics and Machine Learning Engineer

Spanish National Cancer Research Center (CNIO)

Mar 2018 – Sep 2022
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.

Publications

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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 …

Contact

  • Melchor Fernandez Almagro 3, Madrid, 28029
  • Enter building and continue to the right walking 50 meters on Floor 0
  • Monday 10:00 to 18:00
    Thursday 10:00 to 18:00
    Friday 10:00 to 18:00
  • Book an appointment
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