My primary research interest revolves around bad news in organizational life and an individual's career context, such as (mass) layoffs, denied promotions, or negative performance evaluations. I am investigating bad news across different levels of analysis, combining individual, organizational, and industry-level processes. To study this, I employ various methodological approaches, including (natural) experiments, and extensive data collection and analysis techniques such as web scraping, machine learning, or large language models. I have a particular focus on exploring how positive outcomes can be encouraged, how employees adapt their careers following negative career shocks, and how organizations face reputational issues. In other lines of research, I explore how 1) self-regulation impacts leadership effectiveness, 2) how a combination of individual- and context-related variables promotes resilience in leaders, or 3) how organizations benefit from adapting their diversity practices to support their aging workforce.