DrTimilehin Aderinola

Postdoc Research Fellow LVL II

School of Computer Science

  • Postdoc Research Fellow LVL II
    School of Computer Science
  • University College Dublin, School of Computer Science, Science Centre - East Belfield Dublin 4

BIO

Dr Timilehin Aderinola is a machine learning and computer vision researcher focused on transforming how human movement is understood and analysed in clinical settings. His work has direct real-world impact: from predicting and preventing falls in patients with rare neurological conditions such as Parkinson's disease and ataxia, to developing foundation models for human movement with broad clinical applications.

 

Dr Aderinola holds a B.Eng. (Hons.) in Electrical and Electronic Engineering and an MSc in Computer Science from the Federal University of Technology Akure, Nigeria, and a PhD in Information Technology from Multimedia University, Malaysia (2022), where he specialised in machine learning and computer vision. Since joining the Insight Centre for Data Analytics at University College Dublin as a Postdoctoral Research Fellow in 2022, he has built a strong fellowship track record: as a NeuroInsight Marie Skłodowska-Curie Fellow (2023–2025) and, most recently, as a Government of Ireland Postdoctoral Fellow, one of Ireland's most competitive early-career research awards, developing foundation models for human movement in clinical practice.

ACADEMIC POSITIONS

  • Teaching Assistant
    Federal University of Technology, Akure (FUTA), Computer Science, Akure, Ondo, Nigeria4 Jan 2016 - 22 Dec 2017
  • Graduate Research Assistant
    Multimedia University, Faculty of Information Science and Technology, Malacca, Malaysia1 Aug 2018 - 30 Jun 2022

DEGREES

  • Bachelor of Engineering (B.Eng.)
    Federal University of Technology Akure Nigeria
  • Master of Science (M.Sc.)
    Federal University of Technology Akure Nigeria
  • PhD
    Multimedia University Malaysia
  • PhD, Doctor of Philosophy (PhD) Information Technology
    Multimedia University Malaysia

LANGUAGES

  • English
    Can read, write, speak, understand and peer review