My main research interest lies in all kind of human interactions in a machine learning ecosystem beyond labeling. This spans from defining engineering principles, such as continuous integration (CI), to comparison-based/preferential optimization algorithms for tuning hyper-parameters and providing efficient methods for model-selection. Additionally, I am working on different optimization techniques and systems relying on distributed machine learning algorithms to speedup the training process.
I hold a bachelor degree from the Bern University of Applied Sciences and received my MSc in Computer Science from ETH Zurich in 2018. My work on Efficient Sparse AllReduce For Scalable Machine Learning got awarded with the silver medal of ETH Zurich for outstanding master thesis.
My office is located at CAB E 61.2 and feel free to contact me by email firstname.lastname@example.org.