Amit Moscovich

Amit Moscovich is an Assistant Professor at Tel Aviv University, specializing in statistical and machine learning methodologies with applications spanning computational biology and data science.

His research focuses on foundational and applied aspects of modern data analysis:

• Development of manifold learning techniques for high-dimensional data representation and dimensionality reduction
• Theoretical and practical applications of optimal transport theory in statistical modeling
• Computational methods for cryo-electron microscopy (cryo-EM) in structural biology
• Algorithmic innovations in statistical inference and machine learning