Jesper N. Wulff is a Professor at the Department of Economics and Business Economics, Aarhus University. He holds a PhD in Economics and Business Economics from Aarhus University (2015), an MA in Data Analysis from the University of Essex (2015), and an MA in Business Administration from Aarhus University (2011).

Jesper serves as an Associate Editor and Method Reviewer for the Leadership Quarterly and as a Methods Consultant for the Journal of Management Methods Task Force.

Jesper specializes in statistical methodology and business analytics, developing techniques for statistical and causal inference in organizational science. His research has advanced statistical practices through contributions in sample size-dependent alpha levels, multiple imputation for multilevel data, Bayesian multilevel models, GLMs, and sensitivity analysis using the Impact Threshold for Confounding Variables (ITCV).

His data science expertise spans interdisciplinary projects in corporate finance, social epidemiology, and public administration, with publications in Journal of Management, Organizational Research Methods, Journal of International Business Studies, The Leadership Quarterly, Public Administration Review, Journal of Corporate Finance, and Strategic Organization.

Publication list

Jesper teaches deep learning in the master's course in Machine Learning for BI 2, a mandatory course for Msc. in Business Intelligence. He also teaches an elective master's course in Generative AI with LLMs offered both for Msc. in Business Intelligence and Msc. in Data Science students. In addition, Jesper undertakes supervision of master theses and topic reports as well as Ph.D. supervision. 

For his teaching efforts, Jesper has been awarded the Aarhus BSS Lecturer of the Year Award.

Jesper is the programme coordinator for the Master's in Business Intelligence degree programme (cand.merc with specialisation in Business Intelligence) and teaching coordinator for statistics courses at HA/BSc(B)/HA(jur).