Research
My research links device innovation to mechanistic questions in systems neuroscience, with an emphasis on experimentally grounded platforms for recording, stimulation, and closed-loop intervention in preclinical models.
I develop implantable and wearable neural interface platforms that integrate low-noise acquisition, stimulation, onboard processing, and wireless or local data-handling. The goal is to build systems that are experimentally useful for mechanistic studies in freely behaving animals.
I use closed-loop recording and stimulation platforms to study circuit dysfunction in epilepsy and pain. These systems are designed as preclinical tools for testing how biomarker-guided intervention changes network dynamics and behavior.
I investigate organic, iontronic, and conformable bioelectronic interfaces that can improve coupling to tissue, enable alternative communication modalities, and increase spatial resolution at the interface. This work supports both new device physics and neuroscience-facing measurement capabilities.
Capabilities
Low-noise analog front ends, microcontroller systems, mixed-signal boards, low-power integration, and device communication workflows including Bluetooth LE and USB.
Signal processing, synchronization, embedded detection, and closed-loop decision logic for neural recording experiments.
Device layout, cleanroom process development, flexible materials, and integration workflows for neural interface systems.
Rodent electrophysiology, behavior-linked recording, and intervention workflows that connect technical development to biological questions.
Research goal