ZZ Zifang Zhao Neural engineering and bioelectronics

About

About the work

This page summarizes my training background, current research scope, and the scientific problems that connect my work in neural engineering, bioelectronics, and systems neuroscience.

Zifang "Frank" Zhao

Research Associate, Cornell University

Zifang Zhao is a Research Associate in the Department of Neurobiology and Behavior at Cornell University. His work develops minimally invasive bioelectronic technologies for mechanistic studies of neural circuits in epilepsy, chronic pain, and naturalistic behavior. His training spans neuroscience, electrical engineering, embedded systems, and bioelectronic materials across Peking University, NYU Langone Medical Center, Columbia University, and Cornell University.

Training

Training spans neuroscience and electrical engineering at Peking University, closed-loop network manipulation and high-resolution human ECoG analysis at NYU Langone Medical Center, and later work in implantable neuroelectronics, flexible biointerfaces, ionic communication, and wireless multimodal systems at Columbia University and Cornell University.

Scientific vision

The central aim is to build neural technologies as experimentally useful tools for answering circuit-level questions, especially when standard wired or short-term interfaces are limiting.

Collaboration and mentoring

I value collaborations that combine deep technical development with clear biological hypotheses and careful validation. Prospective collaborators and future trainees with interests in neural interfaces, bioelectronics, embedded systems, or systems neuroscience are welcome to get in touch.

Research scope

Methods and priorities

Current collaboration interests

  • Joint work in neural engineering, systems neuroscience, and bioelectronics.
  • Projects that connect device platforms to mechanistic neuroscience questions.
  • Collaborations in embedded systems, biointerfaces, and neural data methods.

Working and mentoring style

  • Projects are framed around a concrete neuroscience or measurement problem.
  • Device design, analysis, and experiments are developed together.
  • Mentoring emphasizes rigor, technical depth, and interdisciplinary fluency.

Further materials

Publications, CV materials, and contact details are available across the site.