Summary
Mousumi Roy is a Postdoctoral Research Associate with a decade of experience at the intersection of medical imaging, machine learning, and data analytics, currently developing multimodal models that fuse imaging, text, and EHR data to improve diagnosis and prognosis. Her background spans academia and industry—ranging from PhD-level imaging research and ultrasound denoising to applied projects at IBM Research and Zebra Technologies—bringing both rigorous theory and production-oriented engineering to healthcare problems. She has a strong track record in pathology image analysis, segmentation using convolutional autoencoders, and building image-quality and object-detection algorithms in real-world systems. Colleagues describe her as driven and resourceful, able to generate novel ideas and implement feasible solutions under pressure. Based in the New York City area with top grades in her M.Tech and B.Tech, she combines deep technical skill with practical experience translating research into tools that can impact patient outcomes.
10 years of coding experience
8 years of employment as a software developer
Master of Technology (M.Tech.), Computer Science, 9.41/10, Master of Technology (M.Tech.), Computer Science, 9.41/10 at University of Hyderabad
Bachelor of Technology (B.Tech.), Computer Science, 8.56/10, Bachelor of Technology (B.Tech.), Computer Science, 8.56/10 at Institute Of Engineering and Management