Michal Aleksandrowicz is a PhD student in the Faculty of Life Sciences and Medicine at King’s College London, funded by the EPSRC DRIVE-Health CDT and MEGI Health. Under the supervision of Dr Antonio de Marvao and Dr Petroula Laiou, his research aims to develop models to predict hypertension and cardiovascular disease risk in women during the menopausal transition. Conventional risk scores do not account for menopause-related changes and sex-specific risk trajectories, leaving a gap that can be addressed by leveraging multimodal data, including electronic health records, wearable device outputs, lifestyle and behavioural metrics, and reproductive history. Michal holds an MSc in Statistics with Data Science from the University of Edinburgh and a BEng in Biomedical Engineering with a specialisation in Biomedical Informatics from the Warsaw University of Technology. His prior work spans, among others, computational drug discovery for microbiota-related conditions and statistical modelling of demand in emergency departments in Scotland.

Research interests

Multimodal models for risk prediction, Computational drug discovery​, Statistical modelling

Hobbies and Interests

Literature, Philosophy, Hiking