I am a Research Associate at the Section of Biomedical Image Analysis, UPenn, working with Prof. Christos Davatzikos. My research is in the area of medical image analysis and machine learning, with applications to brain development and aging. I focus on developing novel computational methods to infer common 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 joining UPenn, I did my PhD in the Center of Visual Computing at Ecole Centrale Paris, under the supervision of Prof. Nikos Paragios. There, I worked on developing novel methods based on discrete optimization and probabilistic graphical models to tackle deformable image registration.
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).
For more information, you can download my CV.
PhD in Applied Mathematics, 2011
Ecole Centrale Paris, France
MSc in Mathematics, Vision and Machine Learning, 2007
Ecole Polytechnique - Ecole Normale Superieur de Cachan, France
BSc in Electrical and Computer Engineering, 2006
National Technical University of Athens, Greece
For the full list of publications, please see my google scholar profile
February 2018: I will be giving a seminar at the University of Michigan - BME.
December 2017: Two papers accepted at the 2018 IEEE International Symposium on Biomedical Imaging (ISBI).
PNAS: New publication on coordinated brain development during adolescence at http://dx.doi.org/10.1073/pnas.1620928114.