About Me

Born in the city of joy Kolkata, India, currently I’m on the verge of finishing my PhD in 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 thesis is to deal with artefacts in MRI – undersampled reconstruction and retrospective motion correction. I’m 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 really enthusiastic about physics as this is the study of the universe and would love to apply my skills of artificial intelligence in that field.

I like working in academia for two main reasons: I like teaching – helping students to prepare for the future workforce and try to motivate them to pursue careers in research, and I’m a supporter of open science – any research I’m doing can be made available publicly without restrictions – to be able to have a more considerable impact in the research community. During my current position, I have supervised several Master’s students for their theses and research projects. Apart from research, I love listening to music, going out for photography, and cooking. I’m very enthusiastic about Italian music, food and culture. I care about various causes, such as racial profiling, gender inequality and climate change.