Benjamin C. K. Tee
Benjamin C. K. Tee is a Professor at the National University of Singapore (NUS), leading the Sensor.AI Labs. He is Vice President of NUS Enterprise. A pioneer of electronic skin, his research at the intersection of materials science, mechanics, electronics and biology has produced the world’s first repeatably self-healing electronic skin and the Asynchronous Coded Electronic Skin (ACES).
His work has appeared in Science, Nature Materials, Nature Nanotechnology and Nature Electronics, and has been recognised by the MIT Technology Review TR35 award, the World Economic Forum Young Scientist of the Year, and the James Dyson Award International.
He has co-founded three medical-technology and AI-sensor companies translating his research to clinical and industrial use.
Dr. Junjie Yao
Dr. Junjie Yao is the Jeffrey N. Vinik Associate Professor of Biomedical Engineering and Bass Chair Professor at Duke University, with a secondary appointment in Neurology, and Associate Director of the Duke Fitzpatrick Institute for Photonics. His research advances photoacoustic and ultrasound imaging for high-speed functional brain imaging, deep-tissue molecular imaging, and image-guided therapeutics, with first-in-human translation now underway.
He is a Fellow of OPTICA, SPIE, and AIMBE, recognised "for breaking the limits of photoacoustic imaging in resolution, speed, and functionality, and translating the technical innovations to theragnostic impacts."
Recent honours include the NSF CAREER Award and Nature Rising Stars of Light Award.
Dr Le Yang
Dr Le Yang is currently Principal Scientist at A*STAR’s Institute of Materials Research and Engineering, where she leads the PROFESS Group (Printed Organic Flexible Electronics & Sensors) and serves as Head of Department.
Her research spans organic optoelectronics, flexible electronics and biosensors, with notable publications in Science, Nature Materials, Nature Communications and Joule, as well as numerous patents/IPs. She is active in the research ecosystem, particularly through MRS-Singapore.
Her honours include the L’Oréal-UNESCO For Women in Science Singapore Award, MIT TR Innovators Under 35 APAC and NRF Fellowship.
Wei Gao
Wei Gao is a Professor of Medical Engineering and Heritage Medical Research Institute Investigator at the California Institute of Technology. His research focuses on wearable and implantable biosensors, bioelectronics, digital medicine, additive manufacturing, and micro/nanorobotics.
He is establishing the field’s most coherent blueprint for body-interfaced molecular diagnostics, devices that transform traditionally episodic lab measurements into continuous, real-world biomarker readouts from accessible biofluids.
Gao is Senior Associate Editor of Science Advances and has received numerous honours, including the NSF CAREER Award, Sloan Research Fellowship, and MIT Technology Review 35 Innovators Under 35. He is a Fellow of AIMBE, RSC, and IEEE.
Weidi Xie
Weidi Xie is a Tenure-Track Associate Professor at Shanghai Jiao Tong University and a recognized national youth talent. He earned his DPhil from Oxford University at Visual Geometry Group, supported with the Google-DeepMind Scholarship.
His research focuses on computer vision and AI for science, specifically, for rare disease diagnosis and treatment. He notably developed and clinical validated DeepRare, a pioneering, large language model (LLM)-powered agentic system designed to revolutionize the differential diagnosis of rare diseases.
Dr. Xie has published over 80 papers in top venues like Nature, Cancer Cell, CVPR, garnering over 22K citations and several best paper awards.