Biocomputing for Biomedical Technologies

Dr Michael Taynnan Barros

Dr Michael T. Barros is a Lecturer (Assistant Professor) in AI in Medicine at the School of Computer Science and Electronic Engineering, University of Essex. He leads the Unconventional Communications and Computing Laboratory (UC2), where synthetic biology, bioprinting, and computational intelligence converge to create living systems that sense, compute, and heal.

His team’s work is supported by competitive funding from the European Commission, Innovate UK, UKRI BBSRC, Enterprise Ireland, and other agencies. Dr Barros serves on the BBSRC Engineering Biology and EPSRC peer-review colleges, and co-leads the Alan Turing Institute’s Learning the Organisational Principles of Living Systems interest group.

Latest News

Highlights from the UC2 Lab, collaborations, and the wider community.

Frontiers special issue on synthetic biological intelligence
Jan 2025

Frontiers Research Topic edited by Barros, Kagan, Hartung & Smirnova reaches 136.9K views, 6 articles, 16.8K downloads, and 27 authors — showcasing global advances in synthetic biological and organoid intelligence.

Alan Turing Institute Living Systems Interest Group
Feb 2025

Alan Turing Institute renews Dr Barros as co-lead of the “Living Systems” Interest Group.

Frontiers review on synthetic biological intelligence
Feb 2025

Frontiers in Cellular Neuroscience publishes a special issue on synthetic biological intelligence with Dr Barros as guest editor.

IEEE TMBMC digital-twin biophysics paper
Dec 2024

IEEE TMBMC accepts a digital-twin biophysics paper led by Dr Barros and collaborators.

Research Interests

Translating unconventional communications and biological fabrication into intelligent living systems.

Neural network analysing cellular data
AI in Biology & Medicine
Organoid on MEA representing synthetic biological intelligence
Synthetic Biological Intelligence & Biocomputing
Digital twin overlay on multicellular construct
Biological Digital Twins
3D bioprinter dispensing cell-laden bioink
Bioprinting of Biohybrids

Selected Papers

A snapshot from 90+ peer-reviewed publications spanning neural engineering and biohybrid systems.

Contact

Connect for collaborations, speaking engagements, and media enquiries.

Address

5B.535
Colchester Campus
University of Essex, UK