Pavlos Protopapas received his PhD in theoretical physics from the University of Pennsylvania. While at Penn he served as the associate director of the National Scalable Cluster Project (NSCP), one of the initial attempts at large-scale distributed computing on a grid-like model. An active collaborator and mentor in the astrostatistics research community, Protopapas holds a research appointment at the Harvard-Smithsonian Center for Astrophysics and also served as senior scientist/project leader for the Time Series Center, a project launched by the Harvard Initiative in Innovative Computing. His research interests lie in planetary transits, the outer solar system, photometric variability, microlensing; in computer science he is interested in large databases and data mining in astronomy, with emphasis on feature extraction, anomaly detection, and similarity searches in time series. At IACS he teaches and advises students as a Lecturer in Computational Science. Together with Efthimios Kaxiras he created Applied Math 207, an IACS core course in stochastic optimization methods popular with students across the social science, science and engineering disciplines.