Cloud native EDA tools & pre-optimized hardware platforms
I graduated from Politecnico di Milano with a Master of Engineering in Biomedical Engineering. I then pursued a doctorate in Bioengineering at the Department of Chemical Engineering of Imperial College London, under the supervision of Prof. Xiao Yun Xu. After a short spell in industry, I went back to academia and accepted a postdoc position at the Institute of Biomedical Engineering of Imperial College London. Since 2013 I have been Senior Research Associate at the Great Ormond Street Institute of Child Health. From October 2022 I will join Durham University as Assistant Professor.
My main area of expertise is biomechanics, but I have a particular interest in medical devices. I have carried out cardiovascular research in the past (mass transfer in drug eluting stents, biomechanics of aneurysm wall, heart valve mechanics) and since joining UCL I have focused on the study of craniosynostosis (a congenital cranial anomaly which affects growth and development of paediatric skull and face) from the biomechanical point of view.
The aim of my research is to understand the effect of craniosynostosis on the cranial and facial development of children and the surgical procedures used to correct this anomaly. I have been the first to develop a computational method to predict the outcome of spring cranioplasty, a minimally invasive procedure adopted in Great Ormond Street Hospital for Children to treat babies affected by scaphocephaly (long and narrow head, due to premature ossification of the sagittal suture) which has been used to carry out preoperative planning as well as patient and parent consenting.
I have been using Simpleware since 2017. I mostly use it to carry out image segmentation of medical datasets, to create 3D anatomical models for visualization, analysis, and simulation. I used these datasets to simulate surgical treatment of craniosynostosis, predict the surgical outcome and provide directions to surgeons on how to optimize the treatment. Simpleware allows me to process CT images and helped me create a framework to produce high fidelity 3D anatomical models directly suitable for finite element analysis.
I am planning to continue my research in cranio-maxillofacial surgery, to expand the use of my numerical models for the prediction of other minimally invasive techniques for the treatment of craniosynostosis. I am planning to expand my research in the field of calvarial micro-morphology to understand calvarial maturation in the new-born by means of high resolution synchrotron tomography, with the aim of identifying the optimal time for reshaping surgery.
The availability of preoperative medical imaging is very important in my work. I am working to adapt my modelling framework to use non-ionising imaging to produce anatomical models suitable for preoperative planning of scaphocephaly correction.