About
Dr Mestre joined the University of Southampton in 2021 and is currently a Lecturer at the School of Electronics and Computer Science of the University of Southampton and a Turing Fellow at the Alan Turing Institute. He's the PI of the ESRC New Investigator award "Biohybrid Futures: A framework for research governance and application of bio-hybrid robotics", where he researches social, ethical and policy implications of emergent AI-enabled technologies like biohybrid robotics using mixed research methods. He's also the PI of the RAI UK International Partnership grant "RAI4MH: Exploring Fairness and Bias of Multimodal Natural Language Processing for Mental Health" in collaboration with the Institute for Experiential AI @ Northeastern University (US) and PI of the £1.2M UKRI Cross-Research Council grant SOUNDSCALE, investigating the responsible development of distributed fibre optic sensing through inter- and transdisciplinary research and engagement with citizens, policymakers, nonprofits and industry.
His research is interdisciplinary and focuses on applied multimodal AI and the responsible development and socio-technical evaluation of AI-enabled emerging technologies. He works at the intersection of computer science, health innovation and socio-technical analysis, integrating technical AI development with clinical collaboration, patient and public involvement, and policy engagement. His methodological expertise spans multimodal AI (from audiovisual text, audio and image data to hetereogeneous data sources like health data), mixed-methods evaluation, co-design and ethical analysis, with applications in mental health, ageing, robotics in healthcare and emerging digital health technologies. He's also interested in digital tools for deliberation applied to democratic innovations and the development of novel computational approaches for social sciences and digital humanities. He is co-director of the Centre for Democratic Futures (CDF), Ethics & Governance lead at the Centre for Robotics, a member of the Institute for Life Sciences (IfLS), and Associate at Digital Humanities (DH).
Prior to this, he was a New Frontiers Fellow in Machine Learning at the School of Electronics and Computer Science and before that a postdoctoral Research Fellow in the 'Rebooting Democracy' project at the Politics and International Relations Department. He completed his PhD at the Institute for Bioengineering of Catalonia (University of Barcelona), where he developed biohybrid robotic systems and nanorobotics for clinically oriented applications at the interface of tissue engineering, biomedicine, robotics and computer vision.
You can read more about his research in the Research section.
You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.
Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.
You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.