Dan Song, Head of R&D
Dan is one of the inventors of VirtualGrasp. Dan has a strong research background in biomedical engineering, machine learning and robotics. From 2008-2012, she was a researcher at KTH, Stockholm. Dan has published around 20 scientific papers in the fields of robotics, biomechanics and computational neuroscience, in major international conferences and journals, and her work in robotic grasping has received “Best Manipulation Paper Award” from IEEE International Conference on Robotics and Automation. Between 2012 and 2016, Dan was employed as a Computer Vision Scientist at ChyronHego, a global leader in broadcast graphics, where she applied her expertise in machine learning and computer vision in sports tracking for real-time data visualization.