Section of Epidemiology
Bartholinsgade 6Q, 2. sal, 1356 København K
My main research is focused on development of statistical learning models for quantifying human resilience of older adults challenged by life-stressors. Specifically, my primary interest lies upon the extraction of various metrics from time-series, longitudinal data, and their implementation in prognostic predictive models (classical and machine learning ones) for older adults.
My project lies on 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'.
Primary fields of research
Statistics, Public Health, Survival Analysis, Machine Learning, Time series, Dynamical Indicators of Resilience, Life-stressors Response,