Ph.D. Student, RAND School of Public Policy; Assistant Policy Researcher, RAND
He/Him
Joseph Matveyenko is a Ph.D. student at the RAND School of Public Policy and an assistant policy researcher at RAND. He focuses on designing and evaluating generative AI research systems and tackling challenges related to information integrity and security issues. His research applies social network analysis, machine learning, and natural language processing to mixed qualitative-quantitative data. Matveyenko is fluent in Russian and proficient in Kazakh, Kyrgyz, and Belarusian.
Prior to joining RAND, he was a program associate at Freedom House, where he supported the implementation of programs in Eastern Europe to bolster the resilience of civil society and support institutional reform. Matveyenko has also served as a short-term observer on election observation missions in Central Asia. In his undergraduate studies at UCLA, Matveyenko completed a double major in political science and Russian studies and received highest departmental honors for his senior thesis on statistical methods for detecting anomalies in elections data.
B.A. in political science, University of California-Los Angeles (UCLA); B.A. in Russian studies, University of California-Los Angeles (UCLA)
Russian; Kazakh; Kyrgyz; Belarusian
