Management Group

Lucia Marucci is a Professor of Systems and Engineering Biology at University of Bristol and an EPSRC fellow. She directs the BBSRC/EPSRC Centre for Doctoral Training in Engineering Biology, and helps with the management of the AIBIO-UK network. Her research combines control engineering, systems/synthetic biology and computational approaches to understand and re-engineer how living cells behave and make decisions.

Reyer is the Head of the Graduate School at the Aberystwyth University and has a chair in Computer Science. Reyer has 20+ years collaborative research experience with clinical/biology experts covering the development of machine learning and medical/biological image/data analysis techniques. More recently, he has also been working at the interface with digital repositories and represents Aberystwyth University at Supercomputing Wales. Current funding includes UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing (EP/S023992/1), Miscanthus AI- Plant Selection and Breeding for Net Zero (EP/Y005430/1).

Andrew is a Professor Computer Science at the University of Nottingham, where he leads the Computer Vision Laboratory.  Along with several researchers in the lab, he focuses on developing AI approaches to understanding and interpreting biological images, including cells, plants and agricultural images. He holds an interdisciplinary position at Nottingham in the Schools of Computer Science and Biosciences. He has 20 years of experience developing novel AI approaches to computer vision in biological images, and has extensive experience developing data science learning resources for biologists.

Robert is a Reader at the Centre for Craniofacial and Regenerative Biology, King’s College London. Robert has been using molecular genetics and cell biology to probe organ development and repair in vertebrates for over 20 years, principally focusing on neuromuscular and musculoskeletal tissues. Combining advanced microscopy methods with computational and statistical approaches he aims to create explainable models for cell behaviour with funding from the Leverhulme Trust, Dunhill Medical Trust and Royal Society.
He sits on the steering group for the King’s AI Institute and is a member of the UKRI Interdisciplinary Assessment College.

Maria (Mary) Temenou is the Network Manager for the AIBIO-UK project. She holds two Master’s degrees from the University of Nottingham and is certified in PRINCE2 Foundation and Practitioner project management. Her previous experience in organising large-scale events has equipped her with essential skills for effective network management. In her current role, Mary oversees project activities, collaborates with partners, manages funding calls, distributes awards, and engages with the public. She plays a pivotal role in supporting the management team to ensure the project’s success.

Charlie has worked with startups, governments, charities, universities and multinational corporations as a data scientist, technical consultant and researcher. He has a PhD in bioinformatics, where he examined the role of rare codons in protein folding. He completed a post doc at the University of Bristol on whole-cell models of Escherichia coli. He was previously the Technical Lead on the GSMA’s AI for Impact project, looking at the application of mobile network data for international and humanitarian development, where he worked on standards for sharing mobile location data anonymously, scoped and led implementations using mobile data for transport planning, and contributed to industry-wide ethical guidelines for responsible AI. At AIBIO he is the resident research software engineer, based at Aberystwyth University. He chairs the AI-ready Bioscience Datasets (AIRBDS) working group and sits on the RRI and Ethics working group.