As the Chief Operating Officer (COO) at Spika Tech, I focus on bridging the gap between advanced technology and healthcare solutions. I bring a solid background in Bioinformatics and Machine Learning to the table, having earned my PhD from CNIO. There, I had the opportunity to be part of the GENCODE consortium (alongside MIT, Standford, Yale, UC Santa Cruz or EMBL-EBI groups among others), contributing to the reference annotation of the human and mouse genomes.Before my current role, I lectured on the topic of Machine Learning in Healthcare at various recognized institutions like Carlos III University of Madrid, Complutense University of Madrid, and Francisco de Vitoria University. My lectures focused on the importance and application of bioinformatics and artificial intelligence in clinical settings.I am also a proud alumnus of the University Pompeu Fabra, where I developed a strong entrepreneurial spirit and honed leadership skills that are now crucial in my operational strategies and team leadership efforts.In addition to my academic and professional experience, I have served as a consultant for several health and tech companies, including Kantar Health, Atrys Health, and Lifebit. I have also worked with non-profit AI organizations like START.
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Chief Operating OfficerSpika Tech S.L.Madrid, Es
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Nato Sci-Et-065 Trust In Complex Autonomous Systems And Possible Ai Acceleration - Team MemberNato Science & Technology Organization (Sto) Sep 2024 - PresentParis, Ile-De-France, FrParticipating as a Technical Team member in the SCI-ET-065 team on Barriers, Challenges, and Quantification of Trust in Complex Autonomous Systems, with a focus on potential AI Acceleration. -
Chief Operating OfficerSpika Tech S.L. Mar 2023 - PresentMadrid, Madrid, Es- Leading 5 EU projects related to HealthTech and DefenseTech, dealing with top corporates, managing substantial budgets, and acting as main coordinator for one of them.- Driving business development across the EU, Shanghai, West Coast US, Dubai, Riyadh, Singapore and Melbourne.- Implementing ISO-13485 for medical device quality management and IEC 62304 for software lifecycle processes.- Leading AI and Machine Learning initiatives within the company, including new proposals for integrating Generative AI and Machine Learning into our technology solutions.- Managing budget allocations, financial planning, and ensuring sustainable growth, overseeing product development and innovation, and managing and developing our team to attract and retain top talent.- Building key partnerships, connecting with investors, and maintaining trust in our vision and offerings.- Collaborating closely with our CEO to set company direction and ensure optimal operational execution.
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Senior Machine Learning EngineerSpika Tech S.L. Sep 2022 - Apr 2023Madrid, Madrid, EsKey responsibilities:- Developing and fine-tuning Machine Learning models.- Working closely with different teams (IT, Data Science, Mathematical Modelling) to apply AI concepts.- Managing data engineering efforts to ensure quality and accessibility of data.- Leading and mentoring colleagues in the technical aspects of our work.- Building systems and pipelines for our models and implementations.- Regularly checked that our models were effective and reliable in real situations.
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Subject CoordinatorUniversidad Francisco De Vitoria Jul 2022 - Jul 2023Pozuelo De Alarcón, Madrid, EsAs the Subject Coordinator and Advanced Bioinformatics Lecturer at UFV from 2022, I took on a more comprehensive role in shaping the curriculum and guiding students through the course. In addition to teaching the course material, I was responsible for overseeing the development and delivery of the subject, including designing assessments and managing teaching resources. -
Bioinformatics ProfessorUniversidad Francisco De Vitoria Aug 2019 - Sep 2022Pozuelo De Alarcón, Madrid, EsI taught a fourth-year course titled "Advanced Bioinformatics," which equips students with the necessary knowledge and skills to tackle complex challenges in the field.Throughout this course, I imparted my expertise on a range of topics related to genomics, including high-throughput sequencing data analysis, genome assembly, and functional annotation.
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Machine Learning In Healthcare ProfessorUniversidad Carlos Iii De Madrid Sep 2021 - Jun 2023Getafe, Madrid, EsI had the privilege of teaching an entire subject dedicated to this important area of study. Specifically, I taught the "Machine Learning in Healthcare" course, which is a key component of the B.Sc. in Data Science and Engineering program.Throughout this course, I shared my knowledge and expertise on a range of topics related to machine learning in healthcare, including data preprocessing, feature extraction, model selection, and performance evaluation. In addition to traditional classroom lectures, I used a variety of teaching methods such as hands-on exercises, case studies, and guest lectures from industry experts to provide a well-rounded learning experience for my students.By the end of the course, my students gained a deep understanding of the application of machine learning in healthcare and are equipped with the tools and knowledge necessary to apply these techniques in real-world scenarios. I am proud to be a part of the education of the next generation of data scientists and healthcare professionals, and to contribute to the advancement of this important field. -
Bioinformatics And Machine Learning Engineer At Bioinformatics UnitSpanish National Cancer Research Centre (Cnio) Feb 2018 - Oct 2022Madrid, Madrid, EsI specialized in a range of technical research areas, including Bioinformatics, Machine Learning, NLP, Data Science, and Statistics. My expertise allowed me to contribute to a variety of research fields, including Genome annotation, Genomics, Immunotherapy, and Chest-X-Ray analysis.I have a deep passion for research and a strong record of academic success, as demonstrated by my Google Scholar profile with over 3700 citations (scholar.google.com/citations?user=3YLw4PQAAAAJ&hl=en). Furthermore, my dedication to open-source software development is reflected in my Github repository (github.com/fpozoc), where I share the majority of my projects and codebase. -
Bioinformatics And Machine Learning Internship At Bioinformatics UnitSpanish National Cancer Research Centre (Cnio) Sep 2017 - Feb 2018Madrid, Madrid, EsI was involved in cutting-edge research in the fields of Bioinformatics and Machine Learning and working on a main project which involves the development and implementation of a machine learning algorithm to predict the functional importance of potential Alternative Splicing.
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It ConsultantAtrys Jun 2021 - Aug 2022Madrid, Community Of Madrid, EsAs a part-time I worked closely with a team of partners of Atrys to manage servers, designing personalised bioinformatics pipelines, and provide advisory services in the field of bioinformatics. Leveraging my expertise in the latest tools and technologies, I helped them achieve their goals by designing and implementing innovative solutions that improved performance, efficiency, and scalability. -
ContractorLifebit Dec 2021 - Jan 2022London, England, GbAs part of a short-term project focused on deep learning, I collaborated closely with a team of partners to annotate and validate clinical text data, gaining valuable insights into natural language processing (NLP) best practices. -
It ConsultantStart Barcelona Feb 2020 - Sep 2020Barcelona, Barcelona, EsAs a part-time IT Consultant I was helping with my passion for technology on a large-scale web project and conducting research into cutting-edge AI technologies. -
Data AnalystKantar Health Jul 2017 - Feb 2018New York, New York, UsMy role involved providing valuable support in market research projects with a focus on the development, analysis, and optimization of digital strategies created by the pharmaceutical industry across Europe. In addition, I was responsible for managing the Backend/Frontend of a Big Pharma web platform service using PHP, SQL, HTML5/CSS/JS, and Bash scripting to ensure server maintenance. Furthermore, I am actively involved in developing a new mobile application for a pharmaceutical company. The primary objective of this app is to streamline clinical surveys and ensure accurate data collection through the use of PhoneGap Technology. To achieve this, I use my proficiency in PHP, SQL, HTML5/CSS/JS to develop and implement the necessary functionalities. -
Bioinformatics And Data Science InternshipNational Center For Biotechnology-Csic. Madrid, Spain Jan 2016 - Jul 2016Madrid, España, EsAs an intern at CNB, I was involved in cutting-edge research areas such as genomics and epidemiology. Within genomics, I was responsible for tasks such as sequence alignment, gene finding, genome assembly, and genome annotation. In epidemiology, I focused on applying mathematical and computational models to better understand infectious diseases.The main project that I was working on was "Bioinformatics analysis of data from whole genome sequencing". This project involves applying my knowledge and skills in bioinformatics and data science to analyze large datasets generated from whole genome sequencing. Through this project, I was gaining valuable experience in data analysis, interpretation, and presentation, as well as developing proficiency in tools and techniques such as Python, R, and statistical analysis methods. Overall, this internship provided me with a unique opportunity to apply my skills in a real-world research setting and contribute to ongoing scientific discoveries.
Fernando Pozo, Phd Skills
Fernando Pozo, Phd Education Details
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Universidad Autónoma De MadridBioinformatics And Machine Learning -
Universitat Pompeu FabraGeneral
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Universidad De AlcaláGeneral
Frequently Asked Questions about Fernando Pozo, Phd
What company does Fernando Pozo, Phd work for?
Fernando Pozo, Phd works for Spika Tech S.l.
What is Fernando Pozo, Phd's role at the current company?
Fernando Pozo, Phd's current role is Chief Operating Officer.
What schools did Fernando Pozo, Phd attend?
Fernando Pozo, Phd attended Universidad Autónoma De Madrid, Universitat Pompeu Fabra, Universidad De Alcalá.
What skills is Fernando Pozo, Phd known for?
Fernando Pozo, Phd has skills like Bioinformatics, Biomedicine, Computational Modeling, Biostatistics, Molecular Biology, Epidemiology, Genomics, Microsoft Excel, Gnu/linux, Big Data Analytics, Public Health Informatics, Drug Design.
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