I am a Senior Applied Scientist at Microsoft, focusing on Copilot research for productivity applications. My work bridges product development and publishable research, with an emphasis on large language models (LLMs), user trust, and algorithmic fairness.
Previously, I was a Postdoctoral Scientist at Amazon AWS, where I worked on Responsible AI. My research explored LLM-based data synthesis and augmentation for evaluating fairness, as well as understanding how users build trust in AI systems.
I hold a Ph.D. in Statistics and Machine Learning from Carnegie Mellon University, where I studied the impact of noise, proxies, and dynamics on fairness in machine learning. I also earned an M.Sc. in Mathematics and B.Sc. degrees in Economics and Mathematics from the University of Freiburg, Germany.
Last updated: September 2025