Yana Safonova is an assistant professor in the Department of Computer Science at Johns Hopkins University. Her research interests cover open problems in computational immunology that include studying adaptive immune systems, understanding successes and failures of immune responses, and predicting efficacy of immunizations.
She received the BS and MS degrees in computer science from the Nizhny Novgorod State University, Russia in 2012 and the Ph.D. degree in bioinformatics from the Saint Petersburg State University, Russia in 2017. In 2017, she joined the Computer Science and Engineering Department at University of California, San Diego (UCSD) as a Postdoctoral Scholar. In 2019-2020, she was also affiliated with the Department of Biochemistry and Molecular Genetics at the University of Louisville School of Medicine as a Visiting Postdoctoral Fellow.
Dr. Safonova was awarded with Data Science Postdoctoral Fellowship (2017) by UCSD and Intersect Fellowship for Computational Scientists and Immunologists (2019) by the American Associations of Immunologists. She is a member of the The Adaptive Immune Receptor Repertoire (AIRR) Community of The Antibody Society.