I am a second year PhD student in the DS3Lab of the Systems Group at ETH Zürich, supervised by Prof. Ce Zhang. My research focuses on the topics of statistical learning theory, ranging from generalization to model selection. I am currently working on advancing model selection task from a set of candidate models, with limited labeled data.

I am also interested in low precision machine learning algorithms that can enable efficient image recovery. Ensuring theoretical guarantees, we recently achieved up to 9x speed-up for radio interferometry and magnetic resonance imaging on FPGA.

Prior to that, I have worked on time-series analysis in phased-arrays networks. More specifically, I developed a data reduction algorithm for reducing thermal noise and crosstalk in phased-arrays together with Prof. Paul Hurley and Matthieu Simeoni. On real telescopes, we have shown that denoising could significantly reduce the data amount required for accurate imaging.

Early on I received my MSc degree in Computer and Communication Science of EPFL. During my MSc studies, I was a research scholar in the Information Theory Laboratory, headed by Prof. Emre Telatar. My research had been supervised by Dr. Olivier Leveque, whom I owe a ton.