Two papers accepted to NeurIPS 2025 Mechanistic Interpretability workshop; paper on content moderation accepted to ACM FAT* 2025; served in organizing committees for major conferences like NeurIPS, ICML.
Research Experience
Worked at Spotify, Microsoft Research Cambridge, and as a postdoc at Oxford. Recent focus on predicting adverse patient outcomes using time-series analysis through probabilistic and deep learning methods.
Education
PhD from University of Cambridge under Zoubin Ghahramani; Postdoc at University of Oxford with Yee_Whye Teh.
Background
A senior research scientist at Spotify Research, previously a senior researcher at Microsoft Research Cambridge focusing on ML for Healthcare. Her work has transitioned from methodological to real-world problem solving, particularly in the health domain.
Miscellany
Interest in exploring the intersection between creativity and machine learning.