Venet Osmani, PhD
Venet Osmani is a senior researcher at the Fondazione Bruno Kessler Research Institute, where he leads the group on Data Driven Healthcare comprising post-doctoral, PhD and Master students. He also lectures at the Department of Psychology and Cognitive Science at the University of Trento, Italy. His research on machine learning methods applied to health, spans over a decade, resulting in over 80 publications in international journals and conferences. He is an Expert Evaluator for the European Commission (Horizon 2020 Programme), Swiss National Science Foundation (SNSF) and several national scientific evaluation institutions. He was a visiting researcher at the Georgia Institute of Technology, USA.
His early research focused on monitoring and analysing human behaviour using personal and environmental sensing, resulting in over two million Euro of competitive research funding over several projects including: 1) predicting depressive and manic episodes of bipolar patients; and 2) detecting occupational stress from smartphone sensors. Some of his work has been featured in the MIT Technology Review, The Telegraph and several other media outlets.
Currently, the focus of his research is on using clinical data (EHR) and deep learning methods to model disease and patient trajectories to: 1) estimate the risk of patients developing chronic diseases; and 2) predict clinical outcomes in critical care (ICU). In this work he collaborates with some of the leading healthcare institutions in the US, including Cleveland Clinic (OH) and Mount Sinai Hospital (NY), as well as several leading European research institutions.