Event-based tactile sensors & flexible electronics
Exploring the junction of neuromorphic design with IGZO/OTFT platforms for tactile sensing and lightweight, conformal systems.
I design and translate across the neuromorphic ecosystem — connecting device physics and mixed-signal VLSI with spiking neural networks, AI systems, and commercial strategy.
I design and translate across the neuromorphic landscape — from device physics and mixed-signal VLSI, to spiking neural networks, AI systems, and commercial strategy. I’ve engineered synapse-level analogue circuits and million-transistor systems, integrated FPGA/software pipelines, and explored emerging device platforms such as flexible, printable, and biocompatible electronics.
Alongside hands-on engineering, I’ve co-founded neuromorphic start-ups, led commercialisation of event-based vision sensors, and advised global R&D groups in automotive, consumer electronics, and defence. This breadth lets me bridge silos: aligning device innovation with system requirements, guiding AI groups toward hardware-realistic architectures, and shaping strategies that position organisations at the forefront of neuromorphic technology.
Currently focused on the convergence of neuromorphic systems, flexible & sustainable electronics, and next-generation AI.
Bridge device labs, neuromorphic systems teams, and AI groups. Roadmaps, “hardware realities” for SNNs, and investable narratives.
Design mixed-signal neuromorphic blocks, integrate sensors, and deliver working prototypes with clear learnings.
Shape EU/industry proposals around sustainability, flexibility, and critical-materials resilience in neuromorphic tech.
Exploring the junction of neuromorphic design with IGZO/OTFT platforms for tactile sensing and lightweight, conformal systems.
Fusion of 3D geometric algorithms with DL for high-resolution event-camera pipelines; industrial and research contexts.
Third-gen DVS design and global adoption efforts across automotive, consumer, defence; algorithms and applications.
Field-programmable mixed-signal array implementing cerebellar learning; demonstrated rehabilitation of eyeblink conditioning in vivo.
Full list on Google Scholar.
Advisory, translation between devices ↔ systems ↔ AI, architecture reviews, and proposals. I’m Europe-based and work internationally.