Sam Huguet
Machine Learning Engineer at Broken String Biosciences- Claim this Profile
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English Native or bilingual proficiency
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French Native or bilingual proficiency
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Experience
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Broken String Biosciences
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United Kingdom
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Biotechnology Research
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1 - 100 Employee
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Machine Learning Engineer
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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.
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FiberLean Technologies
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Germany
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Biotechnology Research
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1 - 100 Employee
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Machine Learning Scientist
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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.
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University of Bristol
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United Kingdom
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Higher Education
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700 & Above Employee
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PhD in Computational Biology
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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.
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The University of Sheffield
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Higher Education
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700 & Above Employee
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Undergraduate Researcher
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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.
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University of Sheffield
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United Kingdom
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Spectator Sports
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1 - 100 Employee
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Undergraduate Researcher
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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.
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Education
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The University of Sheffield
Bachelor of Science (BSc), Biomedical Sciences, 2:1 (upper) -
King's Ely