Fernando Pozo, Phd Email & Phone Number

Madrid, Es

Paris, Ile-De-France, Fr

Participating 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.

Madrid, 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.

Madrid, Madrid, Es

Key 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.

Pozuelo De Alarcón, Madrid, Es

As 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.

Pozuelo De Alarcón, Madrid, Es

I 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.

Getafe, Madrid, Es

I 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.

Madrid, Madrid, Es

I 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.

Madrid, Madrid, Es

I 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.

Madrid, Community Of Madrid, Es

As 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.

London, England, Gb

As 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.

Barcelona, Barcelona, Es

As 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.

New York, New York, Us

My 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.

Madrid, España, Es

As 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.

Doctor Of Philosophy - Phd, Cum Laude, Bioinformatics And Machine Learning

Master Of Bioinformatics For Health Sciences (Msc), Data Science, General

Bachelor'S Degree, Biomedical Sciences, General