Overview
The Ni group aims to realize human-oriented materials intelligence through the combination of soft electronics and digital metamaterials—the materials can sense human signals, transform and adapt their functional properties according to human actions or status. The technical approach embraces epidermal electronics for advanced sensing of body mechanics, and micro/nanomechanics for closed-loop programmable matter. Our research focuses on creating digital-physical interfaces for dynamic control over materials properties via a full spectrum of mechanical and acoustic processes.
Current Appointments & Affiliations
Assistant Professor of the Thomas Lord Department of Mechanical Engineering and Materials Science
·
2020 - Present
Thomas Lord Department of Mechanical Engineering and Materials Science,
Pratt School of Engineering
Assistant Professor of Biostatistics & Bioinformatics
·
2020 - Present
Biostatistics & Bioinformatics,
Basic Science Departments
Assistant Professor in the Department of Electrical and Computer Engineering
·
2024 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Education, Training & Certifications
California Institute of Technology ·
2018
Ph.D.