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Jesper Wulff specializes in statistical methodology and business analytics, focusing on developing techniques for statistical causal inference in organizational science. His research contributions include advanced statistical practices concerning sample size-dependent alpha levels, multiple imputation for multilevel data, Bayesian multilevel models, and sensitivity analysis using Impact Threshold Confounding Variables (ITCV). His expertise in data science extends across interdisciplinary projects in corporate finance, social epidemiology, and public administration. Jesper has published in notable journals such as the Journal of Management, Organizational Research Methods, and the Journal of International Business Studies. He holds a PhD in Economics and Business Economics from Aarhus University and has been recognized for his teaching, receiving the Aarhus BSS Lecturer of the Year Award.
Department of Economics and Business Economics, Aarhus University • Aarhus
Conducting research and teaching in the field of economics and business analytics.
Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.