Steven Goetz

 

Neurotechnology Innovation: A Journey from Traditional Neuromodulation Therapies TOWARD the New Frontiers of Mental Health

Steven Goetz

Location: Virtual

Time: 12pm-1pm

Meeting Link

Meeting ID: 97447419260

Passcode: 641540

Motif Neurotech Strengthens Leadership Team with Appointment of Steven Goetz as Chief Technology Officer | Business Wire

Abstract:

Join us for an insightful seminar featuring Steven Goetz, Chief Technology Officer at Motif Neurotech. In this engaging session, Steve will delve into his remarkable career journey and share invaluable advice on navigating the tech industry. He’ll discuss strategies for identifying promising companies and selecting top-tier technical talent, drawing from his 26-year tenure at Medtronic. Additionally, Steve will shed light on Motif Neurotech’s pioneering work in mental health, specifically their innovative use of microfabrication for developing minimally invasive bioelectronics. An enlightening fusion of personal experience and cutting-edge advancements, this talk is a must-attend for tech and neurotech enthusiasts.

Speaker Bio:

Steve leads the design and development of technically advanced neuromodulation systems, including stimulators for the central and peripheral nervous system, brain and nerve interfaces for the recording of biopotentials, implantable intrathecal pumps, and programming instrumentation.

He has experience in both individual and organizational innovation, including definition of R&D strategy, identification and assessment of disruptive technologies, and in managing a complex product pipeline.

Steve has led high performing, cross functional teams in software, systems engineering, and human factors.

Specialties: Strategic planning for research and product portfolios. Focused innovation for neuromodulation solutions including spinal cord stimulation, deep brain stimulation, peripheral nerve stimulation, bioelectric medicine, and implantable infusion systems. Data analytics for insight driven care and medical applications of machine learning. System engineering for implantable devices and programmers. Human factors engineering for medical devices including user experience and interaction design. Software development (application and embedded). Design of handheld/portable instrumentation.