Summary
Vivek Sharma is a computer vision and machine learning researcher and entrepreneur with a decade of experience bridging academic research and real-world impact. As a postdoctoral researcher at MIT Media Lab and research scientist affiliated with Massachusetts General Hospital / Harvard Medical School, he develops spatio-temporal representation learning, face and activity recognition, and privacy-preserving ML such as federated and split learning. He co-founded Leading Beyond Boundaries to catalyze global dialogues on AI, justice, and healthcare, reflecting a rare mix of technical depth and policy-minded leadership. His background spans top labs in Europe and the US (KIT, KU Leuven, Fraunhofer) and includes applied projects from hyperspectral imaging to clinical surveillance, showing comfort from low-level imaging to large-scale health data. Vivek often works at the intersection of privacy and vision—designing models that perform under limited labels and distributed settings—an expertise shaped by mentors like Ramesh Raskar and Sandy Pentland. Based in Cambridge, MA, he combines rigorous PhD-level research with hands-on translational work that targets measurable societal outcomes.
10 years of coding experience
4 years of employment as a software developer
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at B K Birla Institute of Engineering & Technology, Pilani
Researcher/Student, Computer Vision and Machine Learning, Researcher/Student, Computer Vision and Machine Learning at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Computer Vision, Machine Learning, Privacy-Preserving Machine Learning, Doctor of Philosophy - PhD, Computer Vision, Machine Learning, Privacy-Preserving Machine Learning at KIT, MIT Media Lab, MGH - Harvard Medical School (Harvard University)
Norwegian University of Science and Technology
Ph.D. Student (Non-Employee) / Researcher, Computer Vision and Machine Learning, Ph.D. Student (Non-Employee) / Researcher, Computer Vision and Machine Learning at Harvard University
English, German