My research focuses on developing robustness guarantees for different aspects of machine learning pipelines, including robustness against data poisoning attacks, semantic transformations and distributional shifts. Next to my theoretical work I am extremely excited about the interplay between data quality and large language models. I am also a firm believer in open-source AI, where I am fortunate to have been able to contribute to the RedPajama-1T dataset.