Sam Huguet

Machine Learning Engineer at Broken String Biosciences
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Contact Information
Location
Falmouth, England, United Kingdom, UK
Languages
  • English Native or bilingual proficiency
  • French Native or bilingual proficiency

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Experience

    • United Kingdom
    • Biotechnology Research
    • 1 - 100 Employee
    • Machine Learning Engineer
      • Jun 2022 - Present

      Use of Python to create datasets from genomics data, and use of Keras/Tensorflow to create deep learning models to detect off-target DNA breaks. Use of Python to create datasets from genomics data, and use of Keras/Tensorflow to create deep learning models to detect off-target DNA breaks.

    • Germany
    • Biotechnology Research
    • 1 - 100 Employee
    • Machine Learning Scientist
      • Jan 2022 - Jun 2022

      Short term project to design a standalone deep learning pipeline to analyse scanning electron microscopy image data to predict pertinent metrics. Short term project to design a standalone deep learning pipeline to analyse scanning electron microscopy image data to predict pertinent metrics.

    • United Kingdom
    • Higher Education
    • 700 & Above Employee
    • PhD in Computational Biology
      • Sep 2016 - Mar 2021

      Title: Establishing a High-Content Microscopy Workflow to Study Human Pluripotent Stem Cell Biology Quantitatively in Vitro. Title: Establishing a High-Content Microscopy Workflow to Study Human Pluripotent Stem Cell Biology Quantitatively in Vitro.

    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher
      • Sep 2015 - Oct 2015

      • Project title: “Glucocorticoids Activate Hypoxia Inducible Factor Signalling in the Zebrafish Liver”. • I gained extensive practical experience of pioneering technologies, such as the microinjection of CRISPR/Cas9 constructs and the imaging of Danio rerio embryos following high resolution whole mount in situ RNA hybridisation assays. • This taught me to adopt a positive, 'can-do', mindset when approached with challenges requiring that I learn novel and complex technologies. • Project title: “Glucocorticoids Activate Hypoxia Inducible Factor Signalling in the Zebrafish Liver”. • I gained extensive practical experience of pioneering technologies, such as the microinjection of CRISPR/Cas9 constructs and the imaging of Danio rerio embryos following high resolution whole mount in situ RNA hybridisation assays. • This taught me to adopt a positive, 'can-do', mindset when approached with challenges requiring that I learn novel and complex technologies.

    • United Kingdom
    • Spectator Sports
    • 1 - 100 Employee
    • Undergraduate Researcher
      • Apr 2015 - Jul 2015

      • I was awarded funding to improve understanding of constitutive secretion by purifying and mapping the binding domains of the membrane fusion protein STX19. • Learned to work to a professional standard within academic research. • I was awarded funding to improve understanding of constitutive secretion by purifying and mapping the binding domains of the membrane fusion protein STX19. • Learned to work to a professional standard within academic research.

Education

  • The University of Sheffield
    Bachelor of Science (BSc), Biomedical Sciences, 2:1 (upper)
    2013 - 2016
  • King's Ely
    2008 - 2013

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