
Professor Thomas Gorochowski
PhD(Bristol), MRes(Bristol), MEng(Warw.)
Expertise
Biological engineer developing experimental and computational approaches to effective reprogram living cells and biological collectives.
Current positions
Professor of Biological Engineering
School of Biological Sciences
Contact
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Biography
Prior to joining the University of Bristol, he was awarded a Marie Curie Postdoctoral Fellowship at DSM where he worked on large-scale automated strain development for precision gene expression in bacteria. He then joined the Synthetic Biology Centre at the Massachusetts Institute of Technology, USA where he developed the initial sequencing analysis pipeline that forms part of the large-scale efforts at the MIT-Broad Foundry for Synthetic Biology and explored new ways that deep-sequencing could be harnessed for bioengineering. This led to the creation of the first sequencing-based ‘genetic debugger’ that enables the rapid diagnosis of faults in large circuits and simultaneous characterization of many genetic parts in situ. In 2016, he was awarded a BrisSynBio Fellowship to set up his own lab at the University of Bristol, and in 2017 received a prestigious 5-year Royal Society University Fellowship.
Since returning to Bristol, he has rapidly established a group pioneering the use of advanced genetic design approaches and novel sequencing methods to aid the engineering of biological systems across scales. His research has been published in leading peer-reviewed journals and he provides leadership as Co-Director of the University of Bristol’s BioDesign Specialist Research Institute and as a Core Member of the UKRI-BBSRC ‘Transformative Technologies Strategy Advisory Panel’. He has also lead innovative public engagement activities such as the ‘Become a Biological Engineer’ to bring bioengineering into the classroom.
Research interests
Biology computes... from individual cells deciding how to differentiate during development, to social insects coordinating their actions when scavenging for food; the ability to perform complex computations and process information enables life.
My lab explores the molecular-scale mechanisms that individual cells and groups of cells use to make sense of their world. We apply tools and methods from the field of synthetic biology to create new living systems from the ground-up. By studying these artificial systems using novel techniques we are developing based on advanced DNA assembly, genome editing, sequencing, and computational modelling, we aim to better understand the rules governing how biological parts are best pieced together to perform useful computations. Understanding the computational architecture of cells opens new ways of reprogramming them to tackle problems spanning the sustainable production of materials to novel therapeutics. It also provides key insights into how biology controls the complex processes and structures sustaining life.
Projects and supervisions
Research projects
UKRI EBMA Seed Corn Funding
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/10/2024 to 31/03/2026
EEBio: Efficient Engineering and Control of Predictable and Reliable Biosystems
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/03/2024 to 28/02/2030
EEBio: Efficient Engineering and Control of Predictable and Reliable Biosystems
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
01/03/2024 to 28/02/2030
CYanoBacteria Engineering for Restoring environments (CYBER)
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
14/02/2024 to 13/01/2026
UKRI EBMA Seed Corn Funding
Principal Investigator
Managing organisational unit
School of Biological SciencesDates
14/02/2024 to 13/01/2026
Thesis supervisions
Investigating the Efficacy of Nanopore-Addressable Protein Tags as Reporters in Genetic Circuits
Supervisors
Tuneable Synthetic Genetic Devices
Supervisors
Exploring the design of biological circuits using dCas-based regulators
Supervisors
Comparison of the burden and basal performance of optogenetic expression systems
Supervisors
Data-centric approaches for genetic part design
Supervisors
The dynamic optical micro-environment
Supervisors
Sequencing guided genetic part engineering
Supervisors
Recombinase-based cellular memory
Supervisors
Publications
Recent publications
25/06/2024Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology
BioDesign Research
Data hazards in synthetic biology
Synthetic Biology
Engineering is evolution: a perspective on design processes to engineer biology
Nature Communications
Long-term imaging and spatio-temporal control of living cells using targeted light based on closed-loop feedback
Micro-Bio Robotics
Optimization of periodic treatment strategies for bacterial biofilms using an agent-based in silico approach
Journal of the Royal Society Interface