Soumick Chatterjee

Soumick Chatterjee is a Postdoctoral Researcher at the Glastonbury Group within the Genomics Research Centre of Human Technopole, Milan, Italy. He completed his PhD in Computer Science (summa cum laude) at Otto von Guericke University Magdeburg, Germany, focusing on reducing artifacts in MRI using deep learning.

• Education: PhD (2022), MSc (2017), and BCA (2013) in Computer Science.
• Current Role: Postdoc in Genomics Research Centre, Milan.

His research spans deep learning applications in medical imaging, including MRI reconstruction, motion correction, brain tumor classification, and vascular segmentation. He also emphasizes interpretability of AI models through tools like TorchEsegeta.

Publications (23+ in 2023) include work on undersampled MRI reconstruction, uncertainty quantification, and vessel segmentation via maximum intensity projection loss. Notable scientific achievements include winning the CHAOS Challenge (2019) and runner-up in the MOOD Challenge (2021).

As a supervisor, he guided multiple Master’s students in deep learning projects. He co-organized events like ISACT 2021 and SMILE-UHURA 2023. Open science advocate with code publicly available on GitHub.