Professor Zhi Yang​​

Zhi Yang is a scientist, engineer, and entrepreneur. He serves as an associate professor in the Department of Biomedical Engineering at the University of Minnesota and as CEO and Chairman of Fasikl, a Bloomington, Minnesota–based company specializing in AI therapeutics.

Research Interests

One of Dr. Yang’s primary research interests is developing AI therapeutics to treat movement disorders, neurodegenerative diseases, and other neurological conditions. In particular, he is interested in the type II artificial intelligence his team has pioneered, where the brain and AI co‑adapt and cooperate to enable therapeutic outcomes. He is deeply engaged in exploring how future AI therapeutics could transform healthcare. Under his leadership, Fasikl successfully developed the first and only FDA‑approved AI therapeutic for essential tremor, a common movement disorder.

Dr. Yang’s second major research area is nerve–computer interfaces. His team has developed cutting‑edge technology capable of recording human peripheral nerve signals and performing simultaneous neural recording and stimulation, enabling the collection of large neural datasets for AI modeling. This work has been translated into the Fasikl‑X research division’s MindForce Nerve Computer Interface, which has received two FDA breakthrough device designations: one for controlling prosthetic devices and computer cursors, and another for treating post‑amputation pain.

Openings

Dr. Yang’s lab has multiple PhD openings. Candidates should have a strong background in engineering, hardware technology, or programming; be comfortable working in a fast‑paced, multidisciplinary research environment; and have peer‑reviewed journal publications (for all fields except computer science) or top‑tier conference publications (for computer science backgrounds) in a related field.

Dr. Yang also mentors junior scientists (postdoctoral level or equivalent) through Fasikl‑X. These positions offer competitive compensation, excellent working conditions, and access to cutting‑edge technologies and clinical resources for developing next‑generation AI therapeutics and MindForce Nerve–Computer Interfaces. Applicants should hold a PhD in mechanical, electrical, computer, or biomedical engineering, or neuroscience; excel in fast‑paced, multidisciplinary research; and have a strong track record of peer‑reviewed journal publications or presentations at top‑tier computer science conferences.

For PhD position inquiries, please email yang5029@umn.edu.
For junior scientist positions, please email zhi.yang@fasikl.com.