Research
Biocomputing and Biohybrid Neural Interfaces
I develop biohybrid systems that combine living cells with silicon technology to create new ways of computing, fabricating, and interfacing within in-vitro and in-vivo setings.
My research brings together bioprinting, neuroengineering, and synthetic biology to build experimental models of brain-like tissue that can process information, adapt to changes, and support therapeutic functions.
Using tools like
AI-driven Digital Twins
,
3D & 4D bioprinting
,
multi-electrode arrays
, and
wireless biohybrids
,
my team explores how biological systems make decisions and how we can guide them. Our goal is to create living systems that can support drug delivery, tissue repair, and new forms of bio-electronic communication—always with a strong focus on
biosafety
,
personalization
, and
biosecurity
.
Research Themes
We engineer living neural substrats to perform logic operations and decision-making tasks. Our bio-computation platforms implement Boolean logic, classification, and memory functions through both genetic and electrophysiological mechanisms. Using AI-guided modelling and multi-electrode interfacing, we validate these circuits in real-time and adapt them for applications in closed-loop therapeutics, diagnostics, and biologically inspired machine intelligence.
Our work in 4D bioprinting creates smart, adaptive scaffolds that not only support neural tissue growth but also integrate sensing, computation, and actuation capabilities. By leveraging stimuli-responsive materials and high-resolution printing, we design living constructs that evolve over time, vascularise, and modulate therapeutic release. We aim for long-term functionality, biocompatibility, and seamless integration with both biological systems and external devices.
To connect living systems with machines, we build wireless, battery-less interfaces that operate through multiphysical communication. These interfaces power and interrogate embedded biomaterials, cells or tissue constructs non-invasively, enabling real-time feedback and multi-channel neural modulation. This is our vision for scalable, implantable systems and bio-electronic networks rooted in the AI-driven wireless communication paradigm.
