Improve patient outcomes and lower the cost of care with AI
Health and Life Sciences organisations use Faculty’s best-in-class AI technology daily to:
- Accelerate scientific research and drug development
- Enhance operational decision making
- Support data-driven planning and delivery of proactive care
- Enable the safe development and deployment of AI
- Build the data science capability of their internal teams
We support in three key areas
We help organisations develop data science roadmaps that measurably improve patient outcomes and system efficiency.
We build and deploy custom machine learning software to help organisations solve their most important problems.
We help teams build their in-house data science capability through tailored training programmes and long-term partnerships.
Our work in health and life sciences
Our Health and Life Sciences team
Associate, Health and Life Sciences
Mecaela has a decade of experience on the frontline of health and care, having spent her early career planning and delivering highly specialised radiotherapy to cancer patients. Since joining Faculty, she has assisted with the development of AI tools that support healthcare delivery, patient care and the NHS COVID-19 response.
She has a Masters in Public Health from the University of Monash and has worked at hospitals in New Zealand, Australia and the UK.
Director of Health and Life Sciences
Myles Kirby has experience deploying AI tools to support strategic decision making and operational planning across the NHS. Previously, he was Faculty’s Data Science Delivery Lead, helping executive teams in organisations ranging from energy trading houses to retailers and counter-terror departments develop and execute their data science strategies. Before coming to Faculty, he worked at Accenture where he set up the Digital Strategy practice.
Engagement Manager, Health and Life Sciences
Ottavia has led multiple projects with NHSX, supporting the AI Lab in defining the processes for safe adoption of AI and leading the creation of a national medical imaging database. Prior to joining Faculty, she worked in health and care consulting, supporting research on rare diseases. She has a PhD in Medical Physics at UCL.
Dr Alberto Favero
Lead Data Scientist, Health and Life Sciences
Alberto has led data science projects in the energy, financial services and retail sectors. His areas of expertise include distributed computing for big data, deep learning, and Bayesian statistics. He has extensive experience using TensorFlow, Dask, and MongoDB. He was previously a theoretical physicist and held research posts at Imperial College London in the UK, and in Germany at the Universities of Oldenburg and Cologne. His research was included among the ‘Top 10 breakthroughs of 2011’ by the magazine Physics World.
Data Scientist, Health and Life Sciences
In her time at Faculty, Giulia has provided the Health and Life Sciences team with strategic and technical support on a wide variety of projects, from using machine learning to classify diseases from super-resolution microscopy images of cells. to helping stratify patients and identifying biomarkers of complex diseases.’
Before joining Faculty, Giulia studied for her PhD at the Centre for Misfolding Diseases at the University of Cambridge, focusing on the molecular origins of neurodegenerative diseases like Parkinson’s and Alzheimers. She also holds Bachelor’s and Master’s degrees in Theoretical Physics.