Pavel V Oleinikov

Assistant Professor of the Practice in Quantitative Analysis

Allbritton Center, 119

Associate Director, QAC

Allbritton Center, 119

Pavel V Oleinikov

Pavel Oleinikov uses his background in social and natural sciences to advance the application of quantitative methods to data from the social world. He teaches courses on basics of Big Data, network analysis, text mining, and skills-focused courses. A large part of his work lies in assisting Wesleyan faculty in integrating diverse data sources in the form of text, images, and data from APIs.

Pavel Oleinikov has a PhD in Political Science from University of California, Santa Barbara.  His dissertation focused on paradigms of impatience and their quantitative investigation.  For his MS thesis in computer engineering he studied applications of Hopfield-type neural networks to optimization tasks.

Academic Affiliations

Office Hours

Fall 2019: Wednesdays 3-5 pm


Spring 2024
MATH 233 - 01
Stochastic Processes

QAC 151 - 01
Working with Excel and VBA

QAC 155 - 01
Working with Python

QAC 220 - 01
Applied Vectors and Matrices

QAC 378 - 01
DeltaLab: Comp. Media Analysis

QAC 386 - 01
Introduction to Text Mining