Major Fields of Interest
Computational biology, machine learning in evolutionary biology, phylogenetics, insect evolution
We are a Computational Biology lab that focuses on methods’ development and inference in evolutionary biology and specifically in phylogenetics. We strive to understand how different organisms evolve over long time periods by making meaningful inferences about their evolutionary histories using state-of-the-art approaches of machine learning.
- 2018-2023 Postdoctoral Research Associate. Advisor: Daniel Schrider, Department of Genetics, UNC School of Medicine, UNC Chapel Hill
- 2013-2018 PhD in Biology, Brigham Young University, Provo, UT
- 2004-2009 Lomonosov Moscow State University, Diploma in Zoology With Honors (equivalent to MS First-Class Honors / Distinction)
2022 The DeLill Nasser Award for Professional Development in Genetics, The Genetics Society of America