Mauro Cherubini

I am a Full Professor of Information Systems at the University of Lausanne (UNIL), in Switzerland. Prior to joining UNIL in 2016, I spent eight years in the industry. My last industry work was with  Google in Zurich, Switzerland. Previously, I worked at  Telefonica Research with  Nuria Oliver and  Rodrigo de Oliveira, in Barcelona, Spain. I received my PhD in Computer Science from the Swiss Federal Institute of Technology in Lausanne ( EPFL), Switzerland in June 2008, where I worked for the CRAFT laboratory (now  CHILI lab), under the supervision of  Pierre Dillenbourg. At EPFL, I conducted research on collaborative annotations of maps and remote gesturing.Previously, I worked for two and a half years as a research assistant at the  Media Lab Europe (MLE), in Ireland, under the supervision of  Carol Strohecker. During this time, I had several study visits at the  MIT Media Lab in Boston. I obtained a Master of Arts by Research from  St. Patrick’s College,  Dublin City University, in 2004. My master thesis documented the work I conducted at MLE on Microworlds for Ecology Explorations.My primary research interests are at the intersection of human-computer interaction ( HCI), computer-supported cooperative work ( CSCW) and human learning. I seek to design systems that enable people to be better connected and in more flexible and dynamic ways. I am particularly interested in how to empower people through new technology and in giving them the opportunity to better participate in collective initiatives.  My research team at HEC focuses on behaviour-change technology: applications and technological interventions that can propel positive changes in people’s behaviour. Professionals experiences Research Scientist 2008–2012 Telefónica ResearchUser-Experience Researcher 2012–2016 Google Inc. ResearchCurrent Research Fields Keywords: cooperative learning; job seekers; multiparty privacy conflicts; persuasive computing; Self-Determination Theory; usable privacy and security. Teaching & PhD Courses Data-driven interface design HUM-297 This course explores how data from digital interactions can be analyzed to improve design, usability, and engagement. Students will learn quantitative methods to collect, organize, and interpret data, generating insights to enhance digital services and user experiences.