Patrick Ganzer

Patrick Ganzer serves as an Assistant Professor in the Department of Biomedical Engineering within the College of Engineering at the University of Miami. His research focuses on developing closed-loop neuromodulation therapies, with particular emphasis on integrating machine learning approaches to decode biosignals and promote neuroplasticity for neurological recovery.

Ganzer's research interests span multiple interconnected domains including closed-loop neuromodulation systems, machine learning applications for physiological signal processing, and neuroplasticity mechanisms following neurological injury. His laboratory investigates how reactive nerve stimulation can be precisely timed to disease events to optimize therapeutic outcomes, with applications in spinal cord injury, stroke recovery, and cardiovascular dysfunction.

His recent publications reveal a strong focus on using artificial intelligence to detect and reverse physiological abnormalities, particularly in cardiovascular and neurological contexts. The research demonstrates how machine learning can decode sympathetic responses, optimize vagus nerve stimulation timing, and predict clinical outcomes in conditions like atrial fibrillation.

• Krishna Kumar New Investigator Award (2022)

Ganzer leads the Ganzer-Kanumuri Neurotechnology Lab, mentoring multiple PhD students, postdoctoral fellows, and undergraduate researchers. His research is supported by significant NIH funding (R01 NS131493) and Florida Department of Health grants (COPBC), indicating strong institutional confidence in his research direction. Current projects explore how chronic stress alters supraspinal blood pressure control, the relationship between cardiovascular remodeling and deficits after spinal cord injury, and state-dependent vagus nerve stimulation approaches.

The Ganzer-Kanumuri Neurotechnology Lab operates as a collaborative environment with Dr. Vivek V. Kanumuri as Co-Principal Investigator, focusing on closed-loop neuromodulation therapies that integrate disease event detection with precisely timed nerve stimulation to promote functional recovery.