Applied Scientist for ML/CV


About Me

I’m an Applied Scientist for Machine Learning and Computer Vision at Amazon in Berlin.

For my PhD at the University of Oxford I worked on advancing medical imaging through artificial intelligence under the supervision of Prof. Alison Noble at the Institute of Biomedical Engineering. I was part of the interdisciplinary PULSE (Perception Ultrasound by Learning Sonographic Experience) project, which aims to build machine learning systems that capture the expertise of sonographers in order to enable the widespread deployment of fetal ultrasound screenings.

I completed my B.Sc and M.Sc. degrees in mechanical engineering at ETH Zurich (Swiss Federal Institute of Technology), where I graduated with distinction in 2017. Before commencing my PhD, I worked as an intern at Siemens Healthcare (2015) and McKinsey & Company (2016), and as a research assistant at the Institute for Biomedical Engineering, ETH Zurich (2017). During my studies and internships I worked on research and engineering projects ranging from life support systems for space flight to magnetic resonance imaging (MRI) for cardiac and neuro applications.


  • Machine Learning & Deep Learning
  • Computer Vision
  • Medical Imaging (Ultrasound & MRI)


  • PhD in Engineering Science", 2021

    University of Oxford

  • MSc in Mechanical Engineering (Distinction), 2017

    ETH Zurich

  • BSc in Mechanical Engineering, 2014

    ETH Zurich


Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation

Medical Image Analysis (2020).
Spatio-Temporal Visual Attention Modelling of Standard Biometry Plane-Finding Navigation


Google Scholar Tab Fixer

Browser extension that automatically converts the entries in Google Scholar profiles into proper links that can be opened in new tabs.

HackZurich Hackathon 2017

Master Thesis: 5D Flow MRI

See our abstract:

LauzHack Hackathon 2017

LauzHack Hackathon 2016

Refraction-corrected solar angles in MatLab Compute accurate apparent sunrise, sunset and noon times in seconds, and solar angles based on NOAA formulas.