Hi! I'm Nicolai Baldin and this is my academic homepage. I'm a PhD student in statistics at the University of Cambridge working with Richard Nickl and Quentin Berthet. My interests and experience in machine learning and statistics are fairly eclectic: from tuning hyperparameters in Bayesian statistics to geometric inference and computational issues in high-dimensional estimation. In my own research, I enjoy connecting different fields of mathematics like geometry, probability theory and machine learning. Generally, I am interested in providing theoretical guarantees for statistical procedures using various probabilistic techniques. At Cambridge, I am taking part in the Statistics Clinic, a statistical consulting services to all university members. Prior to joining Cambridge, I spent some time in Berlin where I had the fortune to work with Markus Reiß at Humboldt University.