Dr. Morgane Austern

Biography

Morgane Austern is an Assistant Professor in the Department of Statistics at Harvard University. Her research interests encompass a broad range of topics including Applied Probability, Learning Structured Data, Machine Learning Theory, High Dimensional Statistics, and Information Ergodic Theory. Morgane's work integrates theoretical foundations with practical applications, making significant contributions to the understanding of statistical learning in complex and structured environments. She is actively engaged in exploring new methodologies and frameworks that enhance the efficacy of statistical analysis and model interpretation in high-dimensional spaces. Through her research, she aims to advance the field of statistics by developing innovative techniques that address contemporary challenges in data science and machine learning. Morgane is also dedicated to teaching and mentoring students in the field, fostering a collaborative learning environment that emphasizes critical thinking and analytical skills.

Research Interests