Senior Research Data Scientist at Abridge, focusing on evaluating AI models and products in healthcare. The role involves developing and validating metrics, conducting quantitative evaluations, building data infrastructure for research, and communicating insights to inform product decisions and strategy. It emphasizes rigorous research and data expertise to measure the real-world impact of ambient AI.

Research Scientist focused on evaluating and advancing the real-world impact of ambient AI in healthcare. This role involves designing and leading empirical studies, operationalizing complex constructs using rigorous measurement frameworks, and developing evaluation frameworks to inform model development and product strategy. The work directly contributes to understanding how AI systems affect patients and providers, with a strong emphasis on rigorous evaluation and measurement.