Roy Shilkrot
About Roy Shilkrot
Roy Shilkrot is a Chief Scientist at Tulip Interfaces and a lecturer at Tufts University, with extensive experience in computer vision and human-computer interaction. He has held various academic and advisory roles, including positions at MIT Media Lab and WAY2VAT, and actively shares knowledge through platforms like GitHub and YouTube.
Work at Tulip Interfaces
Roy Shilkrot has been serving as Chief Scientist at Tulip Interfaces since 2018. In this role, he focuses on advancing the company's technological initiatives and product development. Prior to his current position, he worked as an Advisor at Tulip Interfaces from 2016 to 2018. His experience at Tulip includes contributions as a Computer Vision Engineer from 2015 to 2016, where he applied his expertise in computer vision to enhance the company's offerings.
Education and Expertise
Roy Shilkrot holds a PhD in Human Computer Interaction, Media Arts, and Sciences from the Massachusetts Institute of Technology, where he studied from 2010 to 2015. He also earned a Master of Science in Computer Science from Tel Aviv University between 2008 and 2010, and a Bachelor of Science in Computer Science from The Academic College of Tel-Aviv, Yaffo from 2004 to 2007. His educational background is complemented by ongoing studies in Computer Vision at the Weizmann Institute of Science since 2010.
Background
Roy Shilkrot has a diverse professional background that includes roles in academia and industry. He worked at the MIT Media Lab as a Research Assistant from 2010 to 2015 and later as a Research Affiliate from 2015 to 2017. He has also held positions at Stony Brook University, where he served as an Assistant Professor of Computer Science from 2016 to 2019 and as a Research Assistant Professor from 2019 to 2020. His experience extends to advising roles, including a position at Voyage81 as a Technical Advisor from 2022 to 2023.
Achievements
Roy Shilkrot has contributed to the publication 'WorkingHands: A Hand-Tool Assembly Dataset for Image Segmentation and Activity Mining,' showcasing his research in the field of computer vision. He actively shares knowledge through platforms like GitHub and YouTube, where he maintains a channel under the handle @royshilk, providing educational content. Additionally, he has developed and teaches a specialized curriculum in computer vision and visual machine learning at Tufts University.