31/05 - Kateryna Makova: Explaining and predicting disease occurrence from omics data

In this seminar, Pr. Kateryna Makova from Penn State University will present her work on the prediction of disease occurrence from omics data at the Computational Biology and Bioinformatics Lab in Bordeaux

Photography of Kateryna Makova
Kateryna Makova
Speaker: Kateryna Makova, THE MAKOVA LAB AT PENN STATE
Title: Explaining and predicting disease occurrence from omics data
Venue & Location: Salle de conférence de l'IBGC
Date: TUESDAY 31 MAY 2022, 14h
Zoom link: NA

With advances in current technologies, we can now generate genomics, microbiomics, metabolomics, and epigenomics data, which may help us understand the patterns of disease occurrence. As an example, I will present various omics datasets related to childhood obesity. I will also discuss applications of Functional Data Analysis, a statistical method, to the analysis of these omics data.

A native of Ukraine, Kateryna Makova received her PhD from Texas Tech University, where she studied the genetic consequences of the Chernobyl Nuclear Power Plant accident. She then completed her postdoctoral studies at the University of Chicago, where she investigated differences in mutation rates between males and females, among other topics.

She has been a Professor in the Department of Biology at the Pennsylvania State University since 2003. Her laboratory conducts research in evolutionary and medical genomics. Current topics of interest include sex chromosome evolution, evolution of non-B DNA, mitochondrial DNA evolution, regional variation in mutation rates, and childhood obesity. The research in Dr Makova’s laboratory is highly interdisciplinary and collaborative. The group collaborates with statisticians, computer scientists, and biochemists.

The Makova Lab at Penn State
Francis R. and Helen M. Pentz Professor
Logos des tutelles et de l'institut accueillant le Computational Biology and Bioinformatics Lab de bordeaux