Born in the city of joy Calcutta (Kolkata), India, currently I'm a postdoctoral researcher in Human Technopole, in Milan, Italy. I obtained my PhD in Computer Science (interdisciplinary with medical physics) from the Otto von Guericke University Magdeburg, Germany. My main research field is machine learning, to be precise, deep learning, and its applications in the field of medical imaging. The focus of my PhD thesis was to deal with artefacts in MRI - undersampled reconstruction and retrospective motion correction, and the primary focus of my current postdoctoral research is on learning latent phenotypes from multimodal imaging and finding relations with genotypes. I'm also working on other deep learning projects: vessel segmentation, anomaly detection, tumour classification, etc. One major concern with deep learning models is their black-box nature. I'm trying to address that problem - building trust in such models with the help of interpretability, explainability, and uncertainty quantification. Research is not only my profession but also my passion. I like to solve real-world problems with the help of artificial intelligence. I love my current research topics related to the applications of deep learning in medical imaging, as I believe these might contribute to saving some patient's life, even in the smallest magnitude in the long run. I'm also really enthusiastic about physics as this is the study of the universe and would love to apply my skills of AI in that field.