Manuel Corpas Email & Phone Number

London, England, Gb

London Area, United Kingdom

My role as a Senior Lecturer at the University of Westminster reflects my commitment to advancing the field of genomics and bioinformatics through innovative teaching, impactful research, and active community engagement. I am dedicated to fostering the next generation of scientists and contributing to the global effort to harness the power of genomics for better healthcare outcomes.Key Achievements:1. Successfully launched and led the MSc AI and Digital Health program, attracting a diverse cohort of students and establishing it as a leading program in the field.2. Secured funding and support for various genomic research projects, significantly contributing to the understanding of genetic diversity and its implications for personalised medicine.3. Published numerous high-impact research papers and presented findings at international conferences, enhancing the visibility and impact of the University of Westminster's research.

London, England, United Kingdom

My duties as Lecturer in Genomics include:1. Teaching an established programme of study, and a variety of settings from small tutorial groups to large lectures2. Ensuring that the learning needs of the students are identified, appropriate learning objectives defined and the content of the learning materials and methods of delivery meet the defined learning objectives3. Development of teaching materials, methods and approaches with guidance4. Fostering debate and developing the ability of students to engage in critical discourse and rational thinking5. Ensuring that at all times the work of the students is supervised appropriately6. Provide advice and assistance on study skills and any other learning issues7. Assess and ensure that all students are provided with constructive feedback in a prompt and timely manner8. Develop and extend contacts and regularly participated in internal and external networks for the exchange of information and ideas and to develop good working relationships9. Proactively seek external grant funding in relevant research areas

London, England, United Kingdom

Being a Fellow of the Alan Turing Institute, the United Kingdom's national institute for data science and artificial intelligence, signifies a recognition of an individual's expertise and contributions in the fields of data science, artificial intelligence (AI), or related areas. Fellows are typically distinguished researchers or practitioners who have made significant impacts in their respective fields. The fellowship is an acknowledgment of one's standing in the academic and professional community, as well as their potential to contribute to the Institute's goals of advancing world-class research and applying it to real-world problems.

Ideaspace South, University Of Cambridge Biomedical Innovation Hub, Uk

Cambridge Precision Medicine helps clinicians interpret genomics for accurate diagnoses, with the objective of enabling their patients to live longer and happier lives. Clinicians in all fields are now realising the impact of genetics in patient treatment. At Cambridge Precision Medicine we manage and simplify the whole process of genetic screening, from sample to report interpretation. We are independent of any one sequencing or interpretation provider and so are able to work with clinicians to help them choose the right service for their patients. We customise the whole process, and in particular the interpretation, to generate useful and actionable results, using certified laboratories, accredited physicians and experts in the field of genomics every step of the way.

The main goals of the programme are to develop computational best practices and to promote them across scientific disciplines. Fellows are committed to use software sustainability practices themselves in their own domains.

Madrid Area, Spain

Our program is directed to medical practitioners wishing to understand how genomics and big data analysis techniques can help them develop more personalised and accurate diagnoses for their patients. We provide an extensive array of lectures: from next generation sequencing technologies, to bioinformatics, international regulation and principles of genetic counselling.I direct this accredited online course in Clinical Genetics and Personalised Medicine at UNIR - the leading online university of the Spanish speaking world. Part of my role as course director involves the development of its syllabus, practical sessions, coordination with external teachers and examination of students. We utilise a virtual online platform to facilitate the dissemination of knowledge and the interactivity between students and tutors across many countries in different timezones.

I am a registered University of Cambridge Madingley Hall tutor. As part of the University's Institute of Continuing Education, I provide part-time and short courses for professionals on Precision Medicine and Computational Genomics. I design both face-to-face and online training materials tailored to health professionals who would like to incorporate genomics as part of their practice.

Cambridge, United Kingdom

Repositive is a Cambridge-based startup company whose mission revolves around ethical human genome data sharing and access. My goals as Scientific Lead include:1. Build customer the base around the Repositive platform2. Translate customer data needs into enhancements of the service we provide3. Understand Precision Medicine Applications and Innovations and how to match them through proven business strategies4. Advocate current gaps in the implementation of preventative, precise, participatory health solutions

Norwich, United Kingdom

I lead the group of computational biologists at The Genome Analysis Centre (TGAC) working on plant and animal genomes within the Genome Analysis Team. This group is responsible for organizing the analysis of sequence generated at TGAC and also engaging with collaborators on the analysis of genome data. TGAC is specialised in the study of plants, microbes and animal genomes with the view to facilitate the development of new genomics-based biology in academic and commercial sectors.

Develop methods for integration. visualization and analysis of genomic data.

I develop DECIPHER, a web-based database that stores genomic array data and phenotypes from patients world-wide. DECIPHER is a powerful resource for clinical diagnosis and management of patients with congenital abnormalities, providing tools to help in the interpretation of copy number changes in patients with developmental disorders. Enabled by an international collaborative research consortium, DECIPHER hosts data from more than 2200 patients from over 100 centres in more than 20 countries.

Set up a systems biology database, EnDICTION, for integration of computer-generated predictions from the ENFIN network of Excellence. Data consisted mainly of protein-protein interaction, target genes, protein function annotation and metabolic pathways in the Reactome.org database. For this I created an extension of the data model of Reactome and provided an interface for authors to visualize their data within the Reactome Skypainter tool.

Madrid Area, Spain

Developed new web portal for the Institute, organized workshops and represented the Institute at National and International Meetings.

Developed an integrative analysis of heterogeneous protein data sources (sequence, structure and functional annotations). Provided concrete proof for establishing the structural factors contributing most to sequence conservation. Created a tool (PFFmot) to characterize protein sequence motifs based on their structural content. This tool is able to predict functional sites based on the interplay of sequence conservation and destabilizing energies. Method used for enhancement of the PRINTS database's algorithm to find remote homologue proteins for protein family classification.

Lead a team of 30 volunteers to organize events, fundraise and reach out to new members.

San Diego, California, United States

Worked at the Protein Data Bank (PDB), and studied the relationship of structural alignment classifications with sequence family classification databases such as PRINTS. Funding provided by the World Universities Network.

Blacksburg, Virginia, United States

Developed a parser for GEPASI (a biochemical pathway simulator) to automatically exchange its output with Systems Biology Markup Language (SBML). This internship constituted my MSc Bioinformatics thesis.

Phd, Bioinformatics

Activities and Societies: AKPsi ISCB Student CouncilDeveloped a machine learning approach to predict functional regions in proteins based.

Postgraduate Certificate, Higher Education

Modules included Curriculum Design and Development, as well as Innovation in Teaching.

Msc, Bioinformatics

For the final MSc Research Projects, I stayed at Virginia Tech where I developed parser in C++ for GEPASI (a biochemical pathway.

Bsc (Erasmus), Biology

Bsc (Hons), Biomedical Sciences