Chao He is currently the CTO of Airdoc. He is leading Airdoc’s engineering team to develop and provide chronic disease risk assessment service, which is one of the largest retinal image AI analysis services in the world, for tens of millions of customers. The deep learning algorithms in the cloud can recognize, detect or predict more than 50 health risks from retinal images. The technological innovation in the product received the 2019 Wu Wenjun Artificial Intelligence Science and Technology Progress Award, which is one of the most prestigious awards in China for AI technological innovation. Airdoc AI for diabetic retinopathy, one of its core technologies, was approved by the National Medical Products Administration (NMPA) in 2020. It is the first approved retinal image AI assisting diagnosis product in the market. His team also designed and developed FD16 portable fundus camera, which is one of the first fully automatic and fully self-service fundus cameras in the world.
From 2015 to 2018, Chao He was VP of R&D of YI Technologies in which he led the engineering team to develop and ship many intelligent cameras and services such as YI Home Camera and Services (serving customers from 190+ countries in the world), YI HALO 3D VR Camera for Jump (with Google, winner of the 2017 NAB ProHUB Awards of Excellence), YI Horizon VR180 camera (with Google), YI 4K+ Action Camera (the world’s first 4K/60fps action camera) and YI Dashcam.
Before that, he was a principal engineering manager at Microsoft. He shipped many products in multimedia areas when he worked in Microsoft such as Windows Media, Windows Live Messenger, Microsoft Lync, Skype for Business, etc.
Dr Hanruo Liu is Assistant Professor in Ophthalmology with Beijing Tongren Eye Center, Capital Medical University. She currently serves as a deputy director of the Intelligent Ophthalmology Big Data Research Center, deputy director of the AI lab in National Engineering Research Center for Ophthalmic Equipments, and deputy head of the Ophthalmology AI Group of China Medical Equipment Association. She was awarded a Beijing Nova program of Science and Technology (2019) and a Beijing Young Scientist Award (2019), awards given to the scientists under 35 across all domains in science, technology and education. For her AI work, she wined the 1st Prize in Beijing Science and Technology for Innovation award (2019). She was also finalist of key members of Beijing Strategic Technology Talent Team and Beijing Hospitals Authority Youth Program. In the field of AI screening for diabetic retinopathy, age-related macular degeneration and glaucoma, she has obtained ten invention patents.
Sam Guo is an AI researcher and software architect. He received his Master of Engineering in Computer Engineering from the University of Toronto and is currently the Tech Lead of the AI department at the Zhongshan Ophthalmic Center, where he developed the World’s first AI system for retinal lesion detection using ultra-wide field fundus images, a strabismus detection and evaluation AI system, a fundus image quality assessment AI system and various other AI systems.