Pierre-Aurelien Gilliot

Ph.D. Student

ys18223@bristol.ac.uk

Education:
M.Eng. École Polytechnique, 2019

Twitter: @PierreAurelien3

GitHub: PAgilliot

Interests: synthetic biology, genetic circuits, machine learning, probabilistic modelling

Student at the EPSRC/BBSRC Synthetic Biology Centre for Doctoral Training with a background in Mathematics, Pierre is interested in applying modern statistical techniques to describe and design DNA sequences with bespoke properties. Like Jennifer Lawrence or Lambert Wilson, Pierre is a Leo with Sagittarius rising, meaning he’s naturally enthusiastic and optimistic. When he’s not in the lab, he can usually be found playing the violin, trying to replicate a Tasty recipe or sipping a pumpkin spice latte while reading some Beauvoir. Favourite quote is “Live Laugh Love”.

All published works

2022

Design and analysis of massively parallel reporter assays using FORECAST
Gilliot P.A., Gorochowski T.E.
In: Selvarajoo K. (eds) Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology, 2022. (in press)

2020

Sequencing enabling design and learning in synthetic biology
Gilliot P.A., Gorochowski T.E.
Current Opinion in Chemical Biology 58, 54-62, 2020.