My main research interest lies in comparison-based/preferential optimization. I believe this technique can be used to develop novel methods for efficient model-selection with the focus on machine learning. In a more general setting, it helps putting humans into the loop in a more structured way. This will enable people of various domain, especially those with no or little ML or computer science background, to analyze their large-scale datasets more efficiently. 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 email@example.com.