Team

Panaxium Team

Scientific Advisors

Professor George Malliaras, PhD

Professor George Malliaras, PhD

Principal Scientific Advisor
University of Cambridge

Professor George Malliaras, the Prince Philip Professor of Technology at the University of Cambridge, is an internationally-renowned scholar in the field of bioelectronics and a pioneer in the field of polymer bioelectronics. George focuses his research on the design and validation of conductive polymer devices to interface with the brain with the aim of understanding and treating neurological disorders, as well as the development of electronic devices and circuits that mimic computational features of the human brain.

Dr. Róisín M. Owens, PhD

Dr. Róisín M. Owens, PhD

Principal Scientific Advisor
University of Cambridge

Dr. Róisín M. Owens is Group Leader for the BioElectronic Systems Technologies (B.E.S.T.) Group at the University of Cambridge. Róisín’s expertise is in the generation of biomimetic biological models with integrated electronic devices for monitoring or modulation, and to develop platforms that can be predictive of real biological systems.

Dr. Jonathan Rivnay, PhD

Dr. Jonathan Rivnay, PhD

Scientific Advisor
Northwestern University

Dr. Jonathan Rivnay leads the Rivnay Research Group at Northwestern University, renowned for designing and developing new materials and devices to facilitate the seamless integration of sensing / actuation technologies with cells and tissue to enable improvements in diagnosis and therapy. Jonathan’s research focuses on active materials such as conducting polymers which exhibit mixed ionic and electronic conduction, which aids in closing the signaling gap inherent to the bioelectronic interface.

Dr. Dion Khodagholy, PhD

Dr. Dion Khodagholy, PhD

Scientific Advisor
Columbia University

Dr. Dion Khodagholy is an assistant professor in the Department of Electrical Engineering, School of Engineering and Applied Science at Columbia University. Dion’s research aims to use unique properties of materials for the purpose of designing and developing novel electronic devices that allow efficient interaction with biological substrates, specifically neural networks at the brain.