Zurich, Zurich, Switzerland
Lead of an agile data science team of four data scientists working on various computer vision and regression problems for automated sorting platforms based on multi-sensor imaging and spectroscopic data (directly reporting to the CTO) Lead data scientist and developer of a semi-automated machine learning pipeline in PyTorch for multiple input sensor data classification problems Project management of large-scale R&D projects dealing with machine learning algorithm development for the classification of various features in seeds for global industry leaders and multiple stakeholder consortium projects
Data analysis and machine learning algorithm development (convolutional neural networks) based on imaging and spectroscopic data in Python and Matlab Development, calibration and implementation of novel sensing and camera modules into machine vision and spectroscopic measurement systems on sorting platforms
Development of hybrid optical and photoacoustic imaging systems and hybrid optical and photoacoustic spectrometers at the Chair for Biological Imaging / Technical University of Munich.
Development of a Line-Scanning Laser Ophthalmoscope and integration into an Adaptive Optics System
Supporting students in laboratory exercises