Summary
Nikhil Churamani is a Senior AI Data Scientist with a decade of experience at the intersection of medical imaging, robotics, and human–robot interaction. Currently at Medtronic Digital Technologies, he develops ML/CV algorithms for surgical video analysis—spanning multi-task learning, graph neural networks and semantic/instance segmentation—to drive digital surgery solutions. Previously a Cambridge postdoc and PhD researcher, he pioneered continual and federated learning methods that enable social robots to learn from human feedback across changing contexts. His work combines multimodal signal processing, self-organising neural networks and human-in-the-loop reinforcement learning, producing multiple publications and awards. Comfortable moving between applied industry R&D and rigorous academic research, he brings uncommon experience turning affective-robotics concepts into production-relevant AI for safety-critical domains.
10 years of coding experience
5 years of employment as a software developer
Master’s Degree, Intelligent and Adaptive Systems, Master’s Degree, Intelligent and Adaptive Systems at University of Hamburg
Doctor of Philosophy - PhD, Artificial Intelligence, Machine Learning, Affective Robotics, Doctor of Philosophy - PhD, Artificial Intelligence, Machine Learning, Affective Robotics at University of Cambridge
IK Gujral Punjab Technical University
Senior Secondary Education, Science and Mathematics, Senior Secondary Education, Science and Mathematics at Apeejay School Jalandhar
English, French, Hindi, Punjabi, German