Aston Crawley
Computer Vision Engineer at Pear Bio- Claim this Profile
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English Native or bilingual proficiency
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German Elementary proficiency
Topline Score
Bio
Experience
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Pear Bio
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United Kingdom
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Biotechnology Research
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1 - 100 Employee
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Computer Vision Engineer
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Jun 2021 - Present
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Sirius Insight
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Artificial Intelligence Software Developer
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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.
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Signal Biometrics
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Research And Development Engineer
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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.
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King's College London
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United Kingdom
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Research Services
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700 & Above Employee
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Student Ambassador
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Oct 2017 - Jul 2018
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King's College London
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United Kingdom
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Research Services
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700 & Above Employee
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Student Fellow
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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.
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Education
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Imperial College London
Master of Science - MSc (Hons), Biomedical Engineering - Neurotechnology Stream -
King's College London
Bachelor of Engineering - BEng (Hons), Biomedical Engineering -
Peter Symonds College