Multiple sclerosis (MS) is a disease that affects the central nervous system and patients often experience problems due to muscle weakness, fatigue and heat exposure. To encourage patient independence and comfort and also help caregivers to improve patient care and supervision, a non invasive monitoring system for people with advanced MS has been designed and implemented. This project aims to further improve and complete the monitoring system. It contains two main aspects: the development of algorithms to generate alarms for caregivers and patients that helps avoid overheating problems; and the design and implementation of a central monitoring station where the alarms related to the MS patient health status will be displayed.

I have worked at MIT Media Lab for processing and visualizing bio-physiological data and contextual information, including designing the architecture and implementing the API for data analytics using Spark computing system and Astyanax Java Client.