Liza Levina is the Vijay Nair Collegiate Professor of Statistics and affiliated faculty at the Michigan Institute for Data Science and the Center for the Study of Complex Systems. She received her PhD in Statistics from UC Berkeley in 2002, and has been at the University of Michigan since. She is well known for her work on high-dimensional statistical inference and statistical network analysis covering a wide range of methods, theory, and applications. Her current application interests are in neuroimaging. She is a recipient of the ASA junior Noether Award, a fellow of the ASA and the IMS, a 2016 Web of Science Highly Cited Researcher, an invited speaker at the 2018 International Congress of Mathematicians, and a 2019 IMS Medallion lecturer. She is currently serving on the editorial boards of the Annals of Statistics, JASA Theory and Methods, and SIMODS, and is an IMS council member and a co-chair of the IMS Task Force on Data Science.