Evelina Akimova

Specialization: Social Science Genomics, Chronotype & Mental Health, Career Trajectories, Biodemography, Quantitative Methods & Causal Inference

Dr. Evelina Akimova’s primary research areas are health inequalities, focusing on chronotype and wellbeing, using computational social science and statistical genetics methods. Her current research focuses on the use of molecular genetics, survey, and accelerometer data to understand the complex interplay between chronotype, depressive symptoms, and labor market decisions and trajectories. 

Beyond social science genomics, Dr. Akimova  is focusing on causal inference methods, particularly investigating the harmful consequences of different types of collider bias and sample selection. She is also engaged in meta-analytic techniques applied to social stratification research.

Dr. Akimova earned her PhD in Sociology from the University of Oxford in 2021, where she explored the combined roles of biological and socio-demographic determinants of depressive symptoms in the UK. Before joining Purdue University, she completed her postdoc at the Leverhulme Center for Demographic Science and Nuffield College, University of Oxford, in 2024.