Xiwen Gong

Assistant Professor of Chemical Engineering


B28-1046W NCRC
T: (734) 615-3127


Ba.Sc. in Materials Physics, 2014 Fudan University
Ph.D. in Electrical and Computer Engineering, 2018 University of Toronto


By 2050, the population of people over the age of 65 will double, reaching 1.2 billion in a huge global age demographics shift. The acquisition and use of information, obtained via real-time and wearable technologies, will greatly enhance the quality and efficiency of medical care.

Multifunctional skin-interfaced electronics is one of the most anticipated medical Internet of Things (IoT) technologies that enables non-invasive collection of high-quality data related to biological activity. This is realized thanks to their conformal coverage of our body, e.g., skin, eyes, organs, and more. Building on these data and recent advances in deep learning, artificial intelligence-based bioimaging, diagnosis, and therapy will be performed with higher accuracy and speed than ever before.

To address the challenge of aging and healthcare, our group aims to advance knowledge and technology through the lens of material innovation, advanced spectroscopy, and engineering of soft bio-electronics.


Stanford University Chemical Engineering Department Postdoctoral Fellow 2018-2020


Schmidt Science Fellow, 2018

Chinese Government Award for Outstanding Self-Financed Students Abroad, Extraordinary Potential Prize, 2018

Rising Stars in EECS, Stanford University, 2017

Mitacs Globalink Graduate Fellowship (Canada), 2014

National Scholarship (China), 2013