I am an Associate Professor of Radiology in the Division of Informatics, Department of Biostatistics, Epidemiology, and Informatics, at the University of Pennsylvania. I am a principal investigator in the Center for Biomedical Image Computing and Analytics (CBICA), where I lead the Artificial Intelligence in Biomedical Imaging Laboratory (AIBIL).

My research is in the area of medical image analysis and machine learning, with applications to precision medicine, neuroimaging, brain development and aging, Alzheimer’s disease, and other neurological disorders. I focus on developing novel computational methods to extract information from imaging data and delineate patterns in large, heterogeneous data sets, towards improving patient-specific diagnosis and advancing our understanding of brain structure and function in health and disease.

Before returning to Penn, I was an Assistant Professor in the Department of Radiology at Washington University in St. Louis, affiliated with the Institute for Informatics, Data Science & Biostatistics.

My path to Penn began earlier: I was a Research Associate at the Section of Biomedical Image Analysis, University of Pennsylvania, working with Prof. Christos Davatzikos on unsupervised and semi-supervised machine learning techniques to analyze high-dimensional, heterogeneous neuroimaging data.

I did my PhD in the Center of Visual Computing at École Centrale Paris, under the supervision of Prof. Nikos Paragios. There, I developed novel deformable image registration methods based on discrete optimization and probabilistic graphical models.

Prior to that, I obtained my Bachelor’s degree from the School of Electrical and Computer Engineering of the National Technical University of Athens (ECE-NTUA).