Aston Crawley

Computer Vision Engineer at Pear Bio
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, GB
Languages
  • English Native or bilingual proficiency
  • German Elementary proficiency

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Experience

    • United Kingdom
    • Biotechnology Research
    • 1 - 100 Employee
    • Computer Vision Engineer
      • Jun 2021 - Present

    • United Kingdom
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Artificial Intelligence Software Developer
      • Apr 2020 - Jun 2021

      Computer Vision Lead producing and maintaining a multitude of object detection algorithms and pipelines, especially with respect to fusing such detections to alternative transmissions such as AIS and Radar. Computer Vision Lead producing and maintaining a multitude of object detection algorithms and pipelines, especially with respect to fusing such detections to alternative transmissions such as AIS and Radar.

    • United Kingdom
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Research And Development Engineer
      • Oct 2019 - Mar 2020

      Spearheaded a project funded by Innovate UK developing a concussion detection system designed for deployment within a variety of motorsports, primarily Formula One. Spearheaded a project funded by Innovate UK developing a concussion detection system designed for deployment within a variety of motorsports, primarily Formula One.

    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • Student Ambassador
      • Oct 2017 - Jul 2018

    • United Kingdom
    • Research Services
    • 700 & Above Employee
    • Student Fellow
      • Jun 2017 - Aug 2017

      Collaborated with St Thomas’ Hospital’s Division of Imaging Sciences and Biomedical Engineering on a research project that aimed to evaluate the effects of drug-induced ventricular arrhythmia on the action potential duration of cardiac cells, tissues and organs.+ Applied ion channel inhibition of novel pharmaceuticals to biophysically detailed models.+ Analysed modifications to action potential signals across human cells and tissues.+ Simulated an estimation of impulse propagation over a computational 3D heart model.+ Evaluated risks associated with the use of each pharmaceutical for a multitude of cohorts.+ Presented my findings to a research group consisting of Doctors and PhD students.As a Student Fellow, I was able to understand the implications of computational modelling and techniques in clinical medicine and gain an insight into working in a highly interdisciplinary environment; with professionals at St Thomas’ Hospital, embedded industrial collaborators from Siemens Corporation, along with King’s College London Biomedical Engineers.

Education

  • Imperial College London
    Master of Science - MSc (Hons), Biomedical Engineering - Neurotechnology Stream
    2018 - 2019
  • King's College London
    Bachelor of Engineering - BEng (Hons), Biomedical Engineering
    2015 - 2018
  • Peter Symonds College
    2013 - 2015

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