5th February 2020 - Seminars - Machine learning in healthcare research: are we all on the same page? Dr Ivan Olier (Liverpool John Moores University)

 

Time: Wednesday February 05, 13:00 - 14:00

Title: Machine learning in healthcare research - are we all on the same page?

Venue: MATH-103

Abstract: Nowadays, a vast amount of data is being collated as the result of increasingly large-scale experiments aimed at supporting developments in medicine.  Machine learning, a field originated from artificial intelligence, aims at extracting knowledge from data and making predictions without making strong assumptions about data nature and with minimum human intervention. 

Despite being widely adopted in fields such as drug discovery and bioinformatics, the use of machine learning in healthcare remains lukewarm.  Therefore, should we question whether we are providing the methods the healthcare research community needs? Or whether our findings are properly communicated to them?

With this talk, Dr Olier will offer his insight into these questions and present some examples of succeeding in modelling healthcare reserach problems using machine learning methods.

Biography: Dr Ivan Olier is Senior Lecturer in Data Science of the Department of Applied Mathematics of the Liverpool John Moores University (LJMU).

He holds a PhD in Artificial Intelligence from the Technical University of Catalonia, Spain, in 2008. Before joining LJMU, he worked as Data Science researcher at the Autonomous University of Barcelona and at the University of Manchester, followed by a lectureship in Health Informatics at the University of Keele.

Dr Olier's expertise is in machine learning and data science, with a particular focus on applications for healthcare.  His research work has been published in more than 60 peer-reviewed manuscripts in areas such as machine learning, biostatistics, bioinformatics, biomedicine, and databases.