Summary
Soumen Ghosh is a Senior Researcher and postdoctoral-trained AI specialist who develops machine learning and deep learning methods for brain MRI, with a PhD in Machine Learning and Neuroimaging from The University of Queensland. Over eight years he has translated clinical radiology and multimodal diffusion imaging into automated segmentation and analytic pipelines used in neurodegeneration research and occupational lung disease analytics. He bridges core computer science (MCA, MTech) with applied biomedical projects, collaborating with startups and clinical partners to move models from lab to real-world workflows. Currently balancing roles across academia, industry research, and teaching, he brings both hands-on algorithm development and translational deployment experience. Soumen’s work emphasizes responsible AI and reproducible pipelines, and he aims to lead an independent group advancing AI-driven neuroimaging for measurable healthcare impact. A less obvious strength is his track record of integrating teaching, clinical data collection, and industry collaboration to accelerate adoption of research outputs.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning and Neuroimaging, Doctor of Philosophy - PhD, Machine Learning and Neuroimaging at The University of Queensland
Master of Technology - MTech, Information Technology, Master of Technology - MTech, Information Technology at University of Hyderabad
Master's Degree, MCA, Master's Degree, MCA at Heritage Institute of Technology, Kolkata
English, Bengali, Hindi