One Health EJP ASM Satellite Workshop 2019; Digital Innovation and Data Management
Georgina is a chartered information professional who graduated from City University with a Master’s degree in Information Science in 2004. Her information management career spans the higher education, financial services and technology sectors.
She has undertaken projects to improve search functionality by implementing natural language processing of search engine queries; building data structures using text mining and web analytics; importing digital content to a government information portal; and managing information systems, data privacy and user access.
The Veterinary Health Innovation Engine (vHive) is a research centre, startup and incubator supported by a co-investment of £8.5 million in resources dedicated to the development and adoption of new digital technologies in animal health.
vHive utilises transformational digital and data analytics tools to advance the wellbeing of domestic animals through research, problem solving, education, training and knowledge brokering.
At vHive, Georgina is deriving actionable insights from data including the African Livestock Productivity and Health Advancement (ALPHA) Initiative, a joint project funded by the Bill and Melinda Gates Foundation and Zoetis.
Georgina will be speaking about data management and open research. She will introduce delegates to the FAIR principles and discuss the benefits of creating a data management plan.
Ambra graduated Cum Laude in Veterinary Medicine from the University of Bologna (Italy) in 2014. She completed one year of rotating internship at Istituto Veterinario di Novara (Italy). In February 2016, she joined the Small Animal Surgical internship program at Fitzpatrick Referrals (UK). During her internship she also visited the surgical department of Davis University in California and she worked on clinical research projects.
Ambra worked in first opinion companion animal practice in the UK for one year while studying to obtain the certificate in Small Animal Surgery. She enjoys all aspects of Surgery and has a particular interest in Surgical Oncology and Oncology.
In January 2018 Ambra began her current role as a PhD student at the University of Surrey School of Veterinary Medicine in collaboration with, Zoetis, Fitzpatrick Referrals Oncology and Soft Tissue and NPL. Her PhD project is entitled “Machine learning in digital pathology to improve cancer diagnosis in humans and animals”. This project aims on the development, application and evaluation of Artificial Intelligence algorithms for the objective of automatically detect, localise and grade tumours in humans and animals.
This brings her into multi-disciplinary collaborations as diverse as data scientists, medical imaging physicists, deep learning experts, microbiologists, veterinary pathologists and veterinary soft tissue and oncology surgeons. She also teaches undergraduate veterinary students in a clinical settings. Ambra is continuing to work as a part time veterinary surgeon at Fitzpatrick Referrals Oncology and Soft Tissue.
Taran Rai is a PhD Candidate at the Centre for Vision, Speech and Signal Processing, University of Surrey. He received his BA (Dual Hons) in Economics and Finance from the University of Keele and his MSc in Data Science from City, University of London in 2013 and 2018, respectively. His current research interests include artificial intelligence, machine learning, digital pathology, and data science.
Mickele A.D. Francisco
Nikolaos Papachristou is doing research on “Machine Learning for Exploring and Predicting Cancer Symptom Clusters” at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey.
As a researcher he has worked in designing and evaluating Medical eLearning Systems, evaluating patient safety of healthcare services and exploring novel applications of machine learning and network analysis on cancer symptom clusters.
Before his current position he has worked as a research assistant in the Global eHealth Unit of Imperial College London, as a Biomedical Scientist in a Greek hospital, and did e-learning and AI research at University of Patras.
He has also been involved in digital health entrepreneurship for Childhood Ashthma winning second place at the “Call to Innovation Greece”. He has published his research work in international journals (i.e. Nature Scientific Reports) and conferences, and participated in multidisciplinary digital health workshops (MIT Health and Wellness Innovation 2013) and conferences (Futuremed 2013).
During the One Health EJP ASM Satellite Workshop 2019 he will present use cases for the potential value of AI in tackling Foodborne Zoonoses (FBZ), Antimicrobial Resistance (AMR) and Emerging Threats (ET).
Mickele is a computer scientist specialised in computer analysis and algorithmic. He started his professional experience almost two decades ago working on SAP at IBM and since, worked on different technologies such in the field of nanotechnologies, where he was in charge of innovation, electron microscope automation, development and testing new approaches for automatic nanomaterial detection and classification.
He currently leads innovation projects at the innovation lab using SAP new technologies & innovation services involving IoT, Big Data, Blockchain, Design Thinking, Machine Learning, Analytics and Low-code platform development such as Mendix. His role is to drive research, development and innovations using SAP new technologies, to increase internal and external client’s productivity.
He is specialised in Algorithm conception and process automation in a wide range of statistical languages and development tools such as Mendix for low-code, Spotfire for analytics, Python, Java, and other languages. He was also certified on the SAP Cloud Platform (SCP).