CV
Education
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Jan. 2025 - Dec. 2027
DPhil in Computer Science
University of Oxford
AI-based medical image processing applied to fetal ultrasound images. Supervisor: Prof. Dr. Ana IL Namburete.
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Apr. 2021 - Nov. 2023
MSc in Medical Image and Data Processing
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Deep learning, computer vision, and machine learning in medicine. Grade 1.0, the highest achievable grade and top 3% of class.
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Apr. 2021 - Nov. 2023
MSc in Computational Engineering
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Double degree with focus on algebra, numerics, and high performance computing. Grade 1.1, top 5% of class.
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Apr. 2021 - Nov. 2023
MSc in Computational Science
Universita della Svizzera italiana
Double degree with focus on statistics, numerics, and high performance computing. Grade 9.74, summa cum laude.
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Oct. 2017 - Aug. 2021
BSc in Medical Engineering
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Computer science, signal processing, electrical engineering, and deep learning. Grade 1.4, top 2% of class.
Research Experience
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Apr. 2024 - Dec. 2024
Research Assistant
University of Oxford, Department of Computer Science
Detailed evaluation of physics-informed ultrasound simulation, 3D ultrasound reconstruction, 3D scene rendering, computer vision, and shadow artefact reduction. Advisor: Prof. Dr. Ana IL Namburete.
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Apr. 2023 - Oct. 2023
Visiting Researcher
University of Oxford, Department of Computer Science
Master's thesis on artifact reduction in a slice-to-volume ultrasound reconstruction pipeline, using computer vision, physics-informed machine learning, fetal ultrasound, and shadow artefact reduction. Advisor: Prof. Dr. Ana IL Namburete.
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Oct. 2020 - Aug. 2022
Working Student in Research and Development
Siemens Healthineers GmbH
Research and development of AI-based metal artefact reduction techniques in mobile C-arms, including CT reconstruction, image segmentation, and metal artefact reduction. Advisor: Dr. Bjorn Kreher.
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Jun. 2020 - Oct. 2020
Visiting Researcher
Stanford University, Radiological Sciences Laboratory
Bachelor's thesis on learning projection matrices for marker-free motion compensation in weight-bearing CT scans, using known operator learning and CT reconstruction. Advisor: Prof. Dr. Adam Wang.
Professional Experience
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Oct. 2018 - Feb. 2021
Teaching Assistant in Deep Learning, Signal Processing, and Electrical Engineering
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Supported electrical engineering, signal processing, and deep learning courses; supervised practical coding sessions and oral assessment of assignments.
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Oct. 2017 - Feb. 2020
Managing Director - Sales
FUTURE ING UG
Managed acquisition, sales, customer support, and development of an employee training program.
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Aug. 2016 - Jul. 2018
Paramedic in the Federal Volunteering Service
Arbeiter-Samariter-Bund Sektion Neckar-Alb e.V.
Ambulance driver and patient care.
Awards & Scholarships
since 2025
Clarendon Scholarship
University of Oxford
Fully funded DPhil scholarship by the Clarendon Fund.
2023
IFI - Internationale Forschungsaufenthalte fur Informatikerinnen & Informatiker
German Academic Exchange Service (DAAD)
Funding for an international research stay.
2023
ERASMUS
Friedrich-Alexander-Universitat Erlangen-Nurnberg
Mobility scholarship.
2019 - 2023
Scholarship
German Academic Scholarship Foundation
Scholarship support during studies.
2019 - 2023
Max-Weber-Programm
Federal State of Bavaria
Scholarship support during studies.
2021
Best Paper Award Nomination
16th Virtual International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine
Nomination for the Best Paper Award.