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Sam Huguet

Machine Learning Engineer at Broken String Biosciences
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Sam Huguet, a seasoned Machine Learning Engineer with 2+ years of experience in Python, Keras/Tensorflow, and genomics data analysis, holds a PhD in Computational Biology from the University of Bristol.
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Location
Falmouth, England, United Kingdom, GB
Languages
  • English Native or bilingual proficiency
  • French Native or bilingual proficiency
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Bio

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I am Sam Huguet, a Machine Learning Engineer based in Falmouth, England. I am fluent in both English and French, which enhances my ability to collaborate in diverse environments. With over a year of experience at Broken String Biosciences, I specialize in utilizing Python and Keras/TensorFlow to develop deep learning models for genomics data analysis. My previous role as a Machine Learning Scientist at FiberLean Technologies involved designing deep learning pipelines for image data analysis. I hold a PhD in Computational Biology from the University of Bristol, where I established a high-content microscopy workflow. My educational journey began with a BSc in Biomedical Sciences from the University of Sheffield, where I honed my skills in data visualization and critical thinking. I am passionate about leveraging technology to solve complex biological problems.

Experience

  • Broken String Biosciences
    • 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.

  • FiberLean Technologies
    • Cornwall, England, United Kingdom
    • Machine Learning Scientist
      • Jan 2022 - Jun 2022
      • Cornwall, England, United Kingdom

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

  • University of Bristol
    • Bristol, England, United Kingdom
    • PhD in Computational Biology
      • Sep 2016 - Mar 2021
      • Bristol, England, United Kingdom

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

  • The University of Sheffield
    • Sheffield, England, United Kingdom
    • Undergraduate Researcher
      • Sep 2015 - Oct 2015
      • Sheffield, England, United Kingdom

      • 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.

  • University of Sheffield
    • Department of biomedical science, Sheffield, United Kingdom
    • Undergraduate Researcher
      • Apr 2015 - Jul 2015
      • Department of biomedical science, Sheffield, United Kingdom

      • 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

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

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Industry Focus. “Biotechnology Research”

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