At Microsoft, I help turn AI research into products people can use and models others can build on. My work spans consumer AI, foundation-model releases, deployment decisions and the internal workflows that support them, including building a new function as a division took shape.

As a Principal Technical Program Manager, I work with researchers and engineers to define requirements, interpret evaluation results and resolve gaps before release. I connect model behavior to the experience a team is trying to deliver, then help translate those findings into product changes and release decisions.

Hands-on data science and political economy inform how I approach that work. I use statistical analysis to understand capabilities and uncertainty, and examine the incentives, institutions and dependencies shaping adoption. A model's performance matters alongside who can adapt it, what deployment requires and how an organization can change course.

My current work focuses on open-weight models and their ecosystems. I bring together use cases, evaluation findings and remediation options, analyze the evidence, and advise on deployment choices. That includes the commercial and geopolitical implications of building on a particular ecosystem, as well as what an organization can actually inspect or adapt.

I'm also exploring world models and their potential to support creation, learning and planning. I'm interested in how simulated experience could help people anticipate consequences, and in what it would take to test a model's predictions before relying on them in a real task.