Currently I am working in the area of ambient intelligence. We use smartphones and various consumer weareables, dedicated inertial sensors (Shimmer, Xsens) and a real-time location system (Ubisense) for activity recognition, fall detection, human energy expenditure estimation and similar tasks. We also analyze behavior to detect anomalies related to health problems. We mainly rely on machine learning techniques.Previously I was using machine learning to predict epitopes from peptide array data. I was also involved in identification of pluripotency biomarkers by machine learning and the transfer of pluripotency gene-interaction network from mouse to human.I also have experience with search algorithms and game playing, which have been the subject of my PhD thesis. Additionally, I have worked on automatic recognition of genres of web pages.As a software developer, I have experience developing various applications in Delphi. Most of them have been business applications, but I have also dealt with more exciting stuff, such as graph search and schedule optimization.Specialties: Activity recognition, fall detection, human energy expenditure estimation, inertial sensors, real-time location systems, epitope prediction, pluripotency, lookahead pathology, card games, web genres