IDSAI team
The Institute for Data Science and Artificial Intelligence is overseen by the IDSAI Executive Board chaired by the Vice-President and Deputy Vice-Chancellor (Research and Impact), Professor Krasimira Tsaneva-Atanasova. The Board brings together the Pro Vice-Chancellor and Executive Deans from all the University’s Faculties:
- Professor Alex Gerbasi from Faculty of Environment, Science and Economy
- Professor Sallie Lamb from Faculty of Health and Life Sciences
- Professor Gareth Stansfield from Faculty of Humanities, Arts and Social Sciences
The IDSAI Director, Deputy Director, IDSAI Associate Director and the IDSAI Manager are also members of the Executive Board
The Executive Board holds the full executive authority for IDSAI and looks to the Directors to deliver on the Institute’s aim to drive exciting new interdisciplinary research and education.
The Executive Board is supported by Helen Chapman, Senior Administrator, IDSAI.
The IDSAI Management Group is responsible to the Vice-President and Deputy Vice-Chancellor (Research and Impact), Professor Krasimira Tsaneva-Atanasova, and the IDSAI Executive Board for the effective running of the IDSAI.
The IDSAI Management Group is led by the IDSAI Director, Aline Villavicencio and includes the Deputy Director, Associate Director and the IDSAI Manager.
- IDSAI Director - Professor Aline Villavicencio
- IDSAI Associate Director - Professor Mark Kelson
- IDSAI Associate Director - Professor Oliver Hauser
- IDSAI Manager - Emma Roberts
- IDSAI Interim Strategic Leads - these can be found on 'Strategic Leads' drop down below
- IDSAI Events and Seminars Lead - Dr Rodrigo Wilkens
- IDSAI Communications and Engagement - Dr Patrick Gildersleve.
The Management Group is supported by Helen Chapman, Senior Administrator, IDSAI.
IDSAI focuses work around it's three core strategic pillars. In addition to these three core pillars we also have cross-cutting AI and Data Science Innovations foundations. The interim Strategic Leads are as follows:
- AI for Sustainability and Resilience - Professor Hywel Williams
- AI for Health and Wellbeing - Professor Karen Knapp
- AI for a Fair and Inclusive Society - Professor Ana Beduschi
- AI and Data Science Innovations Foundations - Professor Lu Liu.
To find out more about IDSAI's strategic pillars, contact us.
IDSAI Research Fellows play a key role in advancing interdisciplinary data science research. Their work is split between two primary areas: leading their own research programme in alignment with the IDSAI's aims and objectives, and fostering new cross-disciplinary research collaborations. This includes initiating and supporting research partnerships, offering training and advice to non-specialist researchers, and mentoring students. Colleagues across the institution can bid for IDSAI Fellow time through our successful seed-corn funding opportunities:
- Dr Charlie Kirkwood - Data science interests: Neural networks, gaussian processes, deep learning, Bayesian statistics, ensemble methods, decision trees, model checking & calibration, interpretable AI, visualisation.
- Dr Cédric Mesnage - His list of publications can be found on his Google Scholar profile.
The IDSAI Cornwall Research Hub is led by Dr Saptarshi Das and Dr Bram Kuijper. It focussed on real-world data-driven fundamental and applied research in
- machine learning,
- big data analytics,
- computational statistics and artificial intelligence (AI) methods to solve various challenges arising in control theory and optimisation,
- dynamical systems,
- signal, image and video processing,
- large-scale and computing intensive numerical modelling with diverse application areas in renewable energy, environment, geosciences and mining engineering,
- mathematical and computational biology,
- epidemiology,
- fluid dynamics,
- biomedical engineering,
- AI for industrial innovation and business,
- space plasma physics/space weather.
It aims to facilitate co-ordination of cross-disciplinary theoretical and applied research on data science and AI in the context of regional expertise in Cornwall and internationally, by engaging with local and global industries, small and medium-size business and other stakeholders. We closely work with the colleagues from the Centre for Environmental Mathematics, Environment and Sustainability Institute (ESI), Centre for Ecology and Conservation (CEC), Camborne School of Mines (CSM), Renewable Energy and Energy Policy Group at the Penryn Campus, and the European Centre for Environment & Human Health (ECEHH) at the Truro Campus. In the ESI based data science and AI activities, we apply dynamical systems and control theory to issues in natural and human population demography, resource management, conservation ecology, biodiversity and environmental growth, and cyber-physical systems in the context of health and well-being.
The IDSAI Cornwall Hub aims to bring together diverse complementary expertise using both quantitative and qualitative data from physical, environmental, biological, medical, engineering, economic and social sciences in order to create new transdisciplinary collaborations and novel research project ideas.
Four new MSc applied data science courses
- MSc Applied Data Science and Modelling
- MSc Applied Data Science (Renewable Energy)
- MSc Applied Data Science (Environment and Sustainability)
- MSc Applied Data Science (Ecology and Evolution)
Any informal queries from potential PGT, PGR, Post-doctoral students and industrial collaborators/SMEs can be made to Bram Kuijper and Saptarshi Das.
Turing Fellows are established scholars with proven research excellence in data science, artificial intelligence, or a related field. They contribute to new ideas, drive collaborative projects, secure external funding and provide research expertise which is actively connected with the Institute and its network of universities and industry partners.
The University has created a centralised Research Software and Analytics Group that will assist our research community with complex and bespoke research software needs.
