Neurotechnology Engineer & BCI Systems Researcher
I work on high-bandwidth implantable brain–computer interfaces, with a focus on the systems that acquire, transmit, and interpret neural information—from neural recording hardware to reliable clinical deployment and AI-based decoding.
I am interested in the architecture of high-bandwidth implantable neural interfaces and the engineering constraints that determine their real-world performance.
How can implantable neural interfaces acquire and transmit increasingly large amounts of neural information while remaining low-power, reliable, and clinically practical?
My work also focuses on translating experimental neurotechnology into systems that can operate reliably in preclinical and clinical environments.
How do we translate experimental neural interfaces into reliable systems that can operate in real preclinical and clinical environments?
I am interested in how neural information should be represented, preserved, transmitted, and modeled in future brain–computer interfaces.
What neural information should future BCIs preserve, transmit, and model?
Research directions and work in progress. Not completed or published results.
System-level constraints across neural acquisition, onboard processing, wireless telemetry, power, latency, and decoding.
Understanding the tradeoff between raw neural signals, spikes, LFPs, information preservation, bandwidth, and decoding performance.
Developing system-level metrics for evaluating long-term intracortical interface stability.
Paradromics
Engineering and translation of implantable BCI systems spanning system architecture, neural communication platforms, verification and validation, preclinical studies, regulatory testing, and early clinical deployment.
Applied Materials
Engineering experience in complex semiconductor equipment and high-reliability hardware systems.
Professional service supporting institutional review of human-subject research.
Massachusetts General Hospital
Research manuscripts in preparation.
Hao Zhen is a neurotechnology engineer and BCI systems researcher working on implantable brain–computer interfaces and translational neuroengineering. His work spans system architecture, neural interface hardware, wireless communication, verification and validation, preclinical studies, regulatory testing, and early clinical translation of implantable neurotechnology.
His research interests include high-bandwidth implantable neural interfaces, neural data acquisition and transmission, chronic neural interface reliability, distributed BCI systems, and neural signal processing.