This week Emmanuel Rios Velazquez from IMEC Netherlands, will give a talk during our BPI cluster meeting. Timing is as usual between 12:30-13:30 on 18th September in room Pav. K.16. You can find further information about Emmanuel’s work below.
Digital health: Tracking mental stress and mood using wearable sensors and machine learning.
Through wearable technology and digital footprints on our mobile phones, social media, etc., we can extract valuable insights on our lifestyle and well-being. imec is developing new tools to encourage behavior change towards a healthier lifestyle, that may lead to new therapeutic tools for patients with mental health problems such as depression or eating disorders.
Through habit monitoring, physiological monitoring, and personalized, intelligent algorithms we aim to identify triggers of unhealthy behavior, increase awareness and contribute to preventive health.
This talk will touch on data-driven machine-learning enabled, health and virtual reality applications to detect cognition, mood and behavior using wearable data.
Emmanuel is a data scientist engaged on the identification of relevant patterns on physiology and brain activity to assess cognition, mood and behavior through wearable technology, at Imec’s Connected Health Solutions team.
Emmanuel received a PhD from the Maastricht University, on the use of heterogeneous patient data and computational imaging (radiomics) for decision-support systems in radiation oncology.
This pioneering work led to diverse multi-centric, international scientific collaborations. This was followed by a post-doctoral degree at the Computational Imaging and Bioinformatics lab at the Dana-Farber Cancer Institute-Harvard Medical School, investigating the link between cancer imaging phenotypes and tumor biology for precision medicine.
Besides crunching data, he likes reading (contemporary novels), playing drums and whenever possible going to the sea.