Pierre-Aurelien Gilliot
PhD Student
Current Appointments:
Previous Appointments:
Education:
M.Eng. École Polytechnique, 2019
Twitter: @PierreAurelien3
GitHub: PAgilliot
Interests: synthetic biology, genetic circuits, machine learning, probabilistic modelling
Biography
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 publications
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)
Sequencing enabling design and learning in synthetic biology
Gilliot P.A., Gorochowski T.E.
Current Opinion in Chemical Biology 58, 54-62, 2020.
Current Appointments:
Previous Appointments:
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”.
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)
Sequencing enabling design and learning in synthetic biology
Gilliot P.A., Gorochowski T.E.
Current Opinion in Chemical Biology 58, 54-62, 2020.