Regular biography
Yuri Pritykin is an assistant professor in the Department of Computer Science at Princeton University. He is also affiliated with the Lewis-Sigler Institute for Integrative Genomics, the Department of Molecular Biology, the Omenn-Darling Bioengineering Institute, and the Center for Statistics and Machine Learning. His research focuses on computational biology, utilizing applied statistics, machine learning, and efficient algorithms to address problems in biology and medicine through integrative analysis of multi-dimensional data. Pritykin received his PhD in computer science from Princeton University and MSc and PhD in mathematics from Lomonosov Moscow State University. He was awarded an NSF CAREER award in 2023 and a New Innovator Award from the National Institutes of Health and National Institute of Allergy and Infectious Diseases in 2022.
Scholar-generated biography
Yuri Pritykin is an Assistant Professor at Princeton University specializing in computational biology. His research focuses on understanding immune cell heterogeneity, epigenetic regulation, and the functional roles of transcription factors in immune responses. Pritykin's work integrates computational methods with experimental approaches to analyze complex biological systems, including cancer immunosurveillance, T cell dysfunction, and innate immune memory. His publications explore topics such as CRISPR guide RNA design, single-cell multi-ome analysis, and the role of transcription factors like Foxp3 and Foxp1 in regulatory T cell function. His research bridges computational and experimental biology to uncover mechanisms underlying immune cell behavior and disease.