Alexey Chervonenkis is a prominent Russian mathematician known for his significant contributions to the fields of statistics and machine learning. He is best recognized for co-developing the Vapnik-Chervonenkis theory, which provides a framework for understanding the capacity of statistical models to generalize from training data to unseen data. Chervonenkis was born on February 6, 1936, in Moscow, Russia. Throughout his career, he has collaborated with various researchers, including Vladimir Vapnik, and has published numerous papers that have influenced both theoretical and applied aspects of data science and artificial intelligence.