I am a PhD student at ETH Zurich in the EcoVision Lab, Photogrammetry and Remote Sensing Group under the supervision of Prof. Jan Wegner and Prof. Konrad Schindler. My research interests are super-resolution, depth upsampling/completion, fine-grained classification, biodiversity monitoring, and environmental data.
After completing my master studies, I joined the Machine Learning and Optimisation Lab at EPFL to work on a project which aim was to create an algorithm that could help clinicians better predict the causes of pediatric fever in Africa. Following this experience, I decided to continue to focus my research on using Machine Learning to tackle important global issues. My main work at EcoVision is on estimating biodiversity in Switzerland using satellite images.
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PhD in Computer Vision, 2022 (expected)
MSc in Machine Learning, 2017
Imperial College London
BSc in Physics, 2016
Working on A Machine Learning Platform for Emerging Viral Diseases in Africa (part of SAFIA project) with Prof. Martin Jaggi and Dr. Mary-Anne Hartley
Working on Artificial neural networks handling noisy features with Dr. Malte Tewes
First Class Honours. Master Project, F1 Overtaking Model with Mercedes F1 Team and Prof. Marc Deisenroth.
Bachelor Project, Machine Learning and Galaxy Surveys with Dr. David Clements.