Irina Shablinsky

Irina Shablinsky is a Lecturer in the Department of Mathematics/Computer Science at Purchase College, State University of New York, within the School of Natural and Social Sciences. She has been a member of the faculty since 2001, initially joining as an adjunct instructor.

Education:

• MS, PhD — St. Petersburg State University, Russia
• MS — Columbia University, USA

Her academic expertise spans applied mathematics and computer science, with early research focused on non-smooth optimization and differential equations at St. Petersburg State University. Later, she conducted postdoctoral research in natural language processing at Columbia University, reflecting an interdisciplinary trajectory between mathematics and computational linguistics.

At Purchase College, she teaches a wide range of courses including Calculus I and II, Linear Algebra, Differential Equations, Discrete Mathematics, Number Theory, and specialized topics such as Origins and Chronicles of Mathematics, contributing significantly to foundational and advanced mathematics education.

She maintains regular office hours and encourages students to schedule virtual appointments when needed, demonstrating a strong commitment to student support and academic engagement.

Scientific Awards:

• No awards listed in the provided text.

Advising and Grants: There is no mention of graduate students, formal advising roles, or externally funded grants in the available information. However, her long-standing teaching role suggests deep involvement in curriculum development and undergraduate mentorship.

Labs and Research Teams: No specific research labs, teams, or current research groups are mentioned in the provided text. Her prior affiliations include the Department of Applied Mathematics and Control Processes at St. Petersburg State University and the Graduate School of Arts and Sciences at Columbia University.