Mission statement

We develop statistical and mathematical methods that solve real-world challenges. Our focus spans inverse problems, tomographic imaging, photoacoustic imaging, signal and image processing, and deep learning. Our commitment: practical impact grounded in rigorous theory-- delivered through interdisciplinary, open, and sustainable research.

Current focus areas:

• Inverse problems
• Computed tomography and other tomographic methods
• Photoacoustic imaging
• Signal and image processing
• Deep learning and data-driven methods