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Evelina Akimova is an Assistant Professor in the College of Liberal Arts at Purdue University specializing in health inequalities related to chronotype and well-being. Her research utilizes computational social science and statistical genetics methods to investigate the interplay between biological and socio-demographic determinants of depressive symptoms in the UK. Akimova's work focuses specifically on causal inference methods and the implications of collider bias in sample selection. In her current research, she examines how molecular genetics, survey, and accelerometer data contribute to understanding labor market decision trajectories and their associations with mental health outcomes. Prior to her role at Purdue, Dr. Akimova completed her PhD in Sociology at the University of Oxford in 2021 and finished a postdoctoral fellowship at the Leverhulme Center for Demographic Science at Nuffield College, University of Oxford, in 2024.
Purdue University • West Lafayette, IN
Teaches and conducts research in sociology with a focus on health inequalities and social science genomics.
GRE is not required.