I’ve joined Amazon as an Applied Scientist for Machine Learning and Computer Vision in Berlin!
For my PhD at the University of Oxford I strove to advance 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.
Currently: PhD in Engineering Science, (graduating 2021)
University of Oxford
MSc in Mechanical Engineering (Distinction), 2017
BSc in Mechanical Engineering, 2014
Browser extension that automatically converts the entries in Google Scholar profiles into proper links that can be opened in new tabs.
See our abstract: https://www.eventscribe.com/2019/SCMR/fsPopup.asp?Mode=presInfo&PresentationID=478828
https://www.mathworks.com/matlabcentral/fileexchange/62180-sunriseset-lat-lng-utcoff-date-plot Compute accurate apparent sunrise, sunset and noon times in seconds, and solar angles based on NOAA formulas.