Alexander Barnhill

• Since 04/2022: PhD Student, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
  • Research focus on Deep Learning Applied to Animal Linguistics
• 10/2020 – 10/2021: Master of Science in Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
  • Focus on Pattern Recognition
  • Master’s Thesis: Killer Whale Sound Source Localization Using Deep Learning
• 10/2017 – 10/2020: Bachelor of Science in Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
  • Focus on Pattern Recognition
  • Bachelor’s Thesis: Generative Adversarial Networks for Killer Whale Signal Generation

Practical Experience

• 07/2021 – 03/2022: Data Scientist, Siemens Healthineers
  • Development of machine (deep) learning forecasting models for radiology appointment demand over long periods of time.
  • Analysis of hospital and patient data to determine patterns in patient movements and procedures.
  • Determination of relevant patient-centric features in order to develop machine learning models to predict length of stay of cardiac and stroke patients
• 10/2020 – 06/2021: Software Engineer, Siemens Healthineers
  • Development of simulation software for HL7 Data generation to simulate a functional hospital IT system which generates messages based on realistic patient pathways and consideration of constraints such as lack of resources causing delays in service.
• 11/2018 – 09/2020: Working Student, Siemens Mobility
  • Development of applications using Angular / TypeScript and Flask / Python deployed on the MindSphere IoT Platform as well as the coordination of development teams to maintain quality and standards for these digitization solutions.
  • Implementation and maintenance of CI/CD pipelines for the automation of testing and deployment of applications.

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