• Kilde: Scopus
20222023

Publikationer pr. år

Personlig profil

Kort præsentation

My main research is focused on prediction modelling of adverse outcomes in vulnerable individuals challenged by life-stressors. My primary interest lies in the use of longitudinal, time-series data, their properties and dynamics in classic and machine learning prognostic models. I am also fascinated by the implementation, understanding, and utility of various sources of data that capture further layers of the complexity of human health. My PhD project is placed in the intersection of epidemiology, statistics and machine learning and is part of the CHALLENGE platform, 'Harnessing the Power of Big Data to Address the Societal Challenge of Ageing'.

Primære forskningsområder

Public Health, Survival Analysis, Machine Learning, Feature Extraction & Engineering of longitudinal data, Life-stressors Response,

Uddannelse (Akademiske kvalifikationer)

Computational Biomedicine, M.Sc., University of Southern Denmark

1 sep. 201928 jun. 2021

Dimissionsdato: 28 jun. 2021

Actuarial Science & Risk Management, M.Sc., University of Piraeus

31 okt. 201715 jul. 2019

Dimissionsdato: 15 jul. 2019

Statistics, B.Sc., University of Piraeus

1 sep. 201320 jun. 2017

Dimissionsdato: 20 jun. 2017

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