My research seeks to illuminate the interplay between data science, signal processing, and physics. I work on principled machine learning and signal processing tools that address scientific challenges in computational imaging, computational acoustics, and reasoning from audiovisual data.

Research Interests

• Machine Learning
• Inverse Problems and Imaging
• Distance Geometry Methods in Data-Analytics
• Computational Acoustics and Audio, Signal Processing

ERC Starting Grant

• SWING (Signals, Waves, and Learning: A Data-Driven Paradigm for Wave-Based Inverse Problems)