Lauri Tuovinen graduated with the degree of Doctor of Science in computer science and engineering from the University of Oulu, Finland, in 2014. His main research interests are in the area of knowledge discovery from data (KDD), particularly the processes involved in creating and deploying KDD applications in the real world and the software systems that support these processes. He is also interested in knowledge representation, information security and privacy, and the ethical and epistemological implications of artificial intelligence technologies. His early work was mainly concerned with industrial applications of KDD, but more recently, he has been increasingly focusing on the challenges and opportunities of ordinary individuals using KDD to make sense of their personal data. In 2018, he joined the Insight Centre at DCU as a Marie Curie Research Fellow, aiming to develop novel tools for collaborative analysis of lifelogging data, particularly physiological data collected using wearable fitness and sleep trackers. His research blog can be viewed at http://kddchaser.home.blog.