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

• Signal Processing
• (Scientific) Machine Learning
• Inverse Problems and Imaging
• Computational Acoustics and Audio
• Seismic Signal Processing
• SciML

ERC Starting Grant

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