IFDS Affiliate Ilias Diakonikolas and collaborators recently published a survey article titled “Robustness Meets Algorithms” in the Research Highlights section of the Communications of the ACM. The article presents a high-level description of groundbreaking work by the authors, which developed the first robust learning algorithms for high-dimensional unsupervised learning problems, including for example robustly estimating the mean and covariance of a high-dimensional Gaussian (first published in FOCS’16/SICOMP’19). This work resolved a long-standing open problem in statistics and at the same time was the beginning of a new area, now known as “algorithmic robust statistics”. Ilias is currently finishing a book on the topic with Daniel Kane to be published by Cambridge University Press.