Roy Shilkrot

Roy Shilkrot is a distinguished educational and technological entrepreneur with extensive experience in machine learning, computer vision, and AI applications. As a lecturer at MIT Media Lab and Tufts University, Roy teaches curricula focused on machine learning and visual machine learning. In a leadership role at Tulip Interfaces as Chief Scientist, Roy oversees engineering teams and the development of scalable products. Prior leadership positions include Co-Founder and Chief Scientist at WAY2VAT, where Roy led research and ML product development, and a research assistant professorship at Stony Brook University. With a PhD from the Massachusetts Institute of Technology and a diverse background in consulting and advising across various sectors, Roy has made significant contributions to open source projects and academic publications.