Dr. Camila Ferreira Azevedo

Graduated in Mathematics (2010) from the Federal University of Viçosa (UFV), Master (2012) and PhD (2015) in Applied Statistics and Biometrics, both at UFV. She has experience in the field of statistical methods applied to genomic wide selection and Bayesian inference. She is currently an adjunct professor at the Department of Statistics at UFV and a Research Productivity Scholarship from the National Council for Scientific and Technological Development (CNPq) and a member of the UFV's Laboratory of Computational Intelligence and Statistical Learning (LICAE).