I have been doing research in the field of biomedical image computing and medical computer vision for the last 7+ years with the focus of developing and implementing intelligent systems using machine learning. In particular, my research interests include multi-modal image segmentation and classification, non-linear feature reduction, multi-dimensional data clustering, and network analysis. My current project focuses on the semantic understanding, segmentation and classification of brain images using deep learning. During my PhD, I developed novel computational methods for the parcellation and functional analysis of the brain. I used to work on object detection and segmentation problems in microscopy images.
I am always eager for new challenges and opportunities, where I can use my skills and expertise for solving real-world problems. Please contact me if you would like to speak about suitable positions or for technical consultancy. You could refer to my curriculum vitæ for more details about my professional and academic background.