Summary
Neeraj Kumar is an applied machine learning scientist with a Ph.D. and nearly a decade of experience building deep learning and computer vision solutions for digital healthcare, currently driving ML research at Memorial Sloan Kettering Cancer Center. He blends academic rigor—15+ peer-reviewed papers, a US patent, and extensive peer review—with industry impact, having co-founded Pathomica to translate gigapixel pathology images into mutation and survival predictions. Neeraj has led international competitions and symposiums that united multidisciplinary teams across 11+ countries, and he routinely communicates complex model findings to clinicians and non-technical stakeholders. His background spans developing novel architectures for image super-resolution and nucleus segmentation to creating large annotated datasets and MLOps curricula, reflecting both hands-on modeling and systems thinking. Colleagues know him for bridging research and product, mentoring students, and packaging sophisticated ML into usable clinical insights.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine learning and Image processing, Doctor of Philosophy (Ph.D.) Machine learning and Image processing at Indian Institute of Technology, Guwahati
Bachelor of Technology - BTech Electronics and Communications Engineering, Bachelor of Technology - BTech Electronics and Communications Engineering at Guru Nanak Dev University, Amritsar
Hindi, Punjabi, English