I am a W.Glenn Campbell and Rita Ricardo-Campbell National Fellow at the Hoover Institution at Stanford University. At Hoover I plan to develop his dissertation into a book manuscript tentatively titled "Applied Election Forensics Analysis." The book will focus on methodological and theoretical aspects of the statistical detection of election fraud, as well as the development and testing of theories designed to facilitate our understanding of election fraud and its origin in authoritarian regimes.

Before coming to Stanford, I received a PhD in political science from University of Michigan in 2017. In Michigan I majored in both comparative politics and political methodology. In the past I have been a Fulbright and Carnegie visiting scholar at the Center for Political Studies (Institute for Social Research, University of Michigan). In the distant past I have also been an American Field Service exchange-student, finishing Liberty High School (Clarksburg, WV).

My Russian background has largely predetermined my research interests in authoritarianism and electoral events in those states. Over the years my research has been focused on developing theories and tools for election forensics analysis. Election forensics is a nascent field of social science intended to develop statistical methods that can be used to verify whether election results are accurate. Election forensics adds distinctive value to current efforts to promote the integrity of elections around the world by developing forensic tools and techniques designed to detect the presence of election fraud and to estimate its magnitude based on the reported results of elections. Walter Mebane is my advisor and I also work closely with my other committee members, Ken Kollman and Allen Hicken, on the election forensics project design, to create an Election Forensics Toolkit for the use of policymakers, practitioners, and scholars.

My work has developed a number of theories in the field of election forensics: a theory of signaling election fraud, a theory of pre-election polls in authoritarian regimes, and a theory of the inflation of estimates of politically sensitive questions (such as Vladimir Putin's approval ratings, and the current Ukrainian crisis). My theories are helpful to identify and estimate the extent of election fraud by using available election forensic tools. They also are helpful to better understand the basic mechanism by which the contemporary Russian political regime functions. My work has received the attention of the journalists, professionals, and officials from the Russian Central Election Commission.

I am also deeply vested in the survey methodology and public opinion research. I graduated from the Program in Survey Methodology (Institute for Social Research, University of Michigan), which equipped me with comprehension of survey data collection techniques at the professional level. I have been involved several survey projects during my career at Michigan: the World Values Survey (as Ronald Inglehart's research assistant for the survey data quality of Eurasian surveys), the Survey of Russian Elites: 1993-2012 (as William Zimmerman's research assistant implementing the tasks of questionnaire design, data management), and the 2012 Russian election studies survey (as a contributor of survey experiments to Henry Hale and Timothy Colton). I have also been involved in multiple collaboration projects and methodological task forces for major Russia's polling organizations, focusing on survey experiments, survey quality analysis, and sampling weights estimation among other topics (in consultation with Michael Traugott and Fred Conrad). My research in survey methodology is mainly focused on an exploration of social desirability bias in presidential electoral and approval ratings, and has been published in top Russian journals.