Alina Kuvelkar

Alina Kuvelkar is a Teaching Assistant Professor in the Department of Statistics at the University of Pittsburgh, affiliated with the Dietrich School & CGS. She earned her undergraduate degree at The College of New Jersey (TCNJ) and completed graduate work at Penn State, focusing on statistical methods for sociology.

• Education: Undergraduate (TCNJ), Graduate (Penn State)

Her research centers on statistical approaches to social network data, including prevalence estimators for respondent-driven sampling and probability models for complex societal structures. Her work bridges theoretical statistics with practical applications in sociology.

In 2023, she co-authored a significant publication on exponential-family random graph models using linear programming, reflecting her expertise in computational statistics and network analysis.

Alina is dedicated to teaching, with experience in courses like Elementary Probability, Elementary Statistics, and Introduction to SAS. Her philosophy emphasizes active learning and student engagement. She can be contacted at ark417@pitt.edu.