Matt Oates

Matt Oates is a seasoned professional with a strong background in both software engineering and data science, particularly focused on the medical and health sectors.

Currently serving as a Senior Data Scientist at Unai, Matt's role involves technical delivery of software engineering and data science analysis, as well as pre-sales consultancy to co-design solutions with customers in the medical and health space.

He has been actively involved in supporting the NHS Longterm Plan by assisting in the delivery of various pathology services across the UK and aiding clients in national genomics initiatives.

His experience extends to developing advanced training load models for athletes at Genetrainer, tailored to individual genetics and real-time sports and fitness data, effectively optimizing training regimens while minimizing injury risks.

In his previous role as Principal Scientist at Congenica Ltd., Matt focused on enhancing the scientific integrity of their clinical diagnostic platform, aiding clinicians in rare genetic disease diagnostics and contributing to the development of pharmaceutical targets.

Matt's academic background includes a Ph.D. in Complexity Science/Computational Biology from the University of Bristol, where he also completed an MRes in Complexity Sciences, and a BSc in Computer Science & Artificial Intelligence from the University of Wales, Aberystwyth.

With a diverse research portfolio ranging from computational molecular biology to Evolutionary Swarm Robotics, genetic algorithms, and satellite GIS data delivery systems, Matt has demonstrated a strong commitment to scientific exploration and innovation.

His programming skills encompass a variety of languages including Python 3, Perl, Java, PHP 4, C, SQL, HTML, JavaScript, and Raku, showcasing his versatility in technical domains.

Matt's strengths, as identified by the StrengthsFinder 2.0 assessment, include Ideation, Relator, Learner, Connectedness, and Activator, all of which contribute to his multidisciplinary approach and problem-solving capabilities.

In his leisure time, Matt engages in text mining and classification projects, such as sentiment analysis of email and Twitter data, as well as tinkering with microcontrollers and software-defined radio systems, highlighting his ongoing pursuit of technical interests outside of work.