Leadership 

I work at the intersection of survey methodology and machine learning. Most  institutional surveys collect data and stop. I design surveys that feed directly  into predictive models, allowing institutions to not just understand current  barriers but anticipate future challenges. This means institutions can move from "here's what people told us" to "here's what will actually improve faculty  success." The combination matters because survey data without prediction is just description, and algorithms without grounding in real institutional context are just noise. Together they give you something actionable. My approach integrates advanced computational techniques to extract insights from complex survey data, enabling predictive analysis and pattern recognition that traditional methods cannot capture: https://arxiv.org/abs/2507.12126

The work centers on four core competencies: how to build  genuine professional relationships, how to advocate for colleagues in spaces where  decisions get made, how to share expertise in ways people actually learn from, and  how to build accountability for supportive work cultures. These are not soft skills think thank and workshops. They are practical frameworks that people can implement immediately in  their roles. The outcome is measurable: stronger professional  networks, clearer pathways for advancement, and cultures where people actually  support each other's growth instead of competing for scraps: https://www.sciencedirect.com/science/article/pii/S2590291125006242.