Dr Enrico Dall’Ara holds a PhD from the Vienna University of Technology and he is currently Associate Professor at the Insigneo institute for in silico medicine, University of Sheffield, UK. He is member of the council of the European Society of Biomechanics (ESB). His team combines experimental, imaging and computational multi-scale approaches to improve preclinical and clinical assessment of musculoskeletal diseases and related interventions. He published 60 papers in peer reviewed international, contributed to more than 100 abstracts in international conferences, and secured more than £1.2M apportioned income from national and international funding agencies.
Mehran Moazen is a Lecturer in Biomedical Engineering at the Department of Mechanical Engineering of the University College London (UCL). He graduated in Mechanical Engineering at the University of Mazandaran, Iran, in 2005 and completed his PhD in Medical Engineering at the University of Hull, UK, in 2008. His research is focused on the biomechanics of bones and joints and to understand their underlying mechanisms of growth, adaptation and repair. His research has been funded by a number of inter/national funding bodies e.g. RAEng, EPSRC, Rosetree Trust, and HSFP.
Dr Marlène Mengoni is a Lecturer in the School of Mechanical Engineering. She works on natural tissues in-silico modelling. Her research focuses on understanding and modelling tissues behaviour, including occurrence and propagation of damage due to clinical interventions. Her modelling work focusses on verification and validation aspects accounting for natural variance in the tissue. She currently works mainly on developing a extensive analysis of models for the intervertebral disc and its repair but she is also supervising research students on projects dealing with hips (natural tissues and interaction between implant and bone), ankles, and spinal ligaments.
Pietro Liò is a Full Professor at the department of Computer Science and Technology of the University of Cambridge and I am a member of the Artificial Intelligence group. I am a member of the Cambridge Centre for AI in Medicine.
My research interest focuses on developing Artificial Intelligence and Computational Biology models to understand diseases complexity and address personalised and precision medicine. Current focus is on Graph Neural Network modeling.
Dr Pinaki Bhattacharya is a Lecturer in Solid Biomechanics in the Department of Mechanical Engineering and in the Insigneo Institute for in silico Medicine at the University of Sheffield. He obtained his PhD from Purdue University, USA. His research aims to predict the efficacy of medical interventions for musculoskeletal diseases using computational models. He has received about £600k in research income from national and international funding agencies. He contributes to the research agenda of the UK charity Royal Osteoporosis Society as a member of its Technology Working Group.