Sabrina Smith

Data Scientist at unhindr
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK
Languages
  • German Full professional proficiency
  • Swiss German Native or bilingual proficiency
  • French Professional working proficiency
  • English Native or bilingual proficiency

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Ian Radcliffe

Sabrina was the Project Manager on an Engineering Design Project, for which I was the Academic Supervisor, to develop a Functional Electrical Stimulation system and development rig. This was an extremely ambitious project, given the timescale, for a group of 2nd year Bioengineers but the team were adamant to step up to the challenge. Sabrina as Project Manager showed a high level of maturity, guiding her team through development issues, arranging meetings with experts in the field and ensuring the project deliverables were met on target. Her maturity and Project Management skills are well-matched by her technical capabilities (her ability to comprehend new concepts and complex systems goes well beyond my own understanding of the project, particularly on the electronics and software side) and also her tenacity. I have been keen to see Sabrina's progression since completing this project, as have many of my colleagues. I am confident that Sabrina is going to have a positive impact on the world, whichever sector she decides to pursue.

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Credentials

  • AWS S3 Basics
    Coursera
    Jul, 2023
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Oct, 2022
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    Coursera
    Aug, 2022
    - Nov, 2024

Experience

    • United Kingdom
    • Medical Equipment Manufacturing
    • 1 - 100 Employee
    • Data Scientist
      • Oct 2021 - Present

      unhindr is an early-stage start-up developing Roliner, a soft adaptive liner for lower-limb prostheses. My role encompasses both clinical and engineering responsibilities including: -Clinical trial design with human subjects including statistical and sample size calculations and ensuring work is in line with MHRA requirements -Data extraction, processing and machine learning for gait analysis and improvement of the fitting of Roliner. -Assistance with PCB and firmware design for Roliner's control box https://www.unhindr.com/ Show less

    • Research Services
    • 700 & Above Employee
    • Research Assistant/Visiting Researcher - Bioengineering/National Heart and Lung Institute
      • Sep 2018 - Present

      Computational models for prediction of return to sinus rhythm in atrial fibrillation after cardiac ablation.Funded by British Heart Foundation

    • Graduate Teaching Assistant
      • Sep 2018 - Apr 2019

      Two courses from MSc in Human and Biological Robotics and MEng in Biomedical Engineering-Machine Learning and Neural Computation-Animal Locomotion and Bio-inspired Robotics

    • United States
    • Higher Education
    • 700 & Above Employee
    • Visiting Researcher
      • Oct 2020 - Jul 2021

      Whitesides Research Group Computer vision (blob detection) and machine learning (Bayesian and Random Decision Forest) for classification of unknown powders separated by Magnetic Levitation. Funded by Institute of Engineering and Technology. Whitesides Research Group Computer vision (blob detection) and machine learning (Bayesian and Random Decision Forest) for classification of unknown powders separated by Magnetic Levitation. Funded by Institute of Engineering and Technology.

    • United States
    • Higher Education
    • 700 & Above Employee
    • Visiting Researcher
      • Aug 2017 - Sep 2017

      Computer vision models for modelling cerebral palsy in babies. Funded by Institute of Engineering and Technology Computer vision models for modelling cerebral palsy in babies. Funded by Institute of Engineering and Technology

    • Research Services
    • 700 & Above Employee
    • Undergraduate Researcher
      • Jul 2016 - Sep 2016

      Summer Project in Human Robotics with Professor Etienne Burdet Modelling and prediction of Freezing of Gait in Parkinson's disease using machine learning. Co-authored conference paper: Detection of Freezing of Gait in Parkinson’s disease: an investigation on the role of different feature families Summer Project in Human Robotics with Professor Etienne Burdet Modelling and prediction of Freezing of Gait in Parkinson's disease using machine learning. Co-authored conference paper: Detection of Freezing of Gait in Parkinson’s disease: an investigation on the role of different feature families

    • Switzerland
    • Biotechnology Research
    • 700 & Above Employee
    • Engineering Pipetting Intern
      • Jul 2015 - Sep 2015

      Summer Intern in Hardware Pipetting. Modelled pipetting pressure for evaluation of fluid-dispensing control algorithms Summer Intern in Hardware Pipetting. Modelled pipetting pressure for evaluation of fluid-dispensing control algorithms

    • Switzerland
    • Biotechnology Research
    • 700 & Above Employee
    • Engineering Lab Assistant
      • Jan 2014 - Sep 2014

      Year in Industry in Hardware Department for Roche Diagnostics. Conducted wet-lab trials and programmed unit tests cases (Javascript, C#) Year in Industry in Hardware Department for Roche Diagnostics. Conducted wet-lab trials and programmed unit tests cases (Javascript, C#)

    • United States
    • IT Services and IT Consulting
    • 700 & Above Employee
    • Summer Intern
      • Jun 2012 - Aug 2012

      IBM Summer Internship Program in the Business Partner Organisation Sector IBM Summer Internship Program in the Business Partner Organisation Sector

Education

  • Imperial College London
    Biomedical Engineering MEng, Biomedical Engineering with Electrical Engineering Stream
    2014 - 2018
  • Barts and the London Medical School
    Graduate Entry Medicine
    2019 - 2023
  • International School of Zug and Luzern
    High School Diploma, 4.0 Valedictorian
    2011 - 2013

Community

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