Funded by the European Union (GA 101072980) and supported by the UK Engineering and Physical Sciences Research Council. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Arsen Korpetayev

Arsen Korpetayev

DC 2 - Machine-learning based design and optimization of analyte-responsive ribozymes

About your project

My DC project is centered around machine-learning based design and optimization of analyte-responsive ribozymes. At IIT, I will focus on ribozym integration in circuit design, and at DBS on the characterization of effector binding.

About you

I have a mixed background of computational and laboratory experience. I obtained a BEng Biochemical Engineering at UCL from 2017-2020 and MSc Synthetic biology at Newcastle University from 2020-2021. Focused on applicability of a method or usefulness of an application. A few experience examples are gene regulatory element screening with FACS, NGS analysis and modelling of genetic circuits with differential equations. I completed a Principles of Synthetic Biology course in 2020 from MITx. I am looking forward to enriching collaborations within the SYNSENSO network.