Alina R Kuvelkar

Alina R. Kuvelkar is a Teaching Assistant Professor in the Department of Statistics at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. She holds a Ph.D. in Statistics from Penn State University (2024). Her research focuses on network analysis, respondent-driven sampling methodologies, and pedagogical strategies in statistics education. She has developed statistical models for social network data and prevalence estimators in respondent-driven sampling frameworks.

Teaching emphases include courses like Elementary Probability, Elementary Statistics, and Introduction to SAS. Her pedagogy prioritizes active learning environments to engage students with real-world applications of statistics. Notable work includes a 2023 publication on exponential-family random graph models published in the Electronic Journal of Statistics. No awards or grants are explicitly listed in the provided materials.

Labs/Teams: No specific lab affiliations mentioned. Advising: No graduate student advisees listed in current materials.