Physics-Informed Machine Learning for Cryo-Electron Tomography

We are looking for motivated students interested in image processing, with projects ranging from theoretical developments to highly applied problems.

Our research focuses on improving image reconstruction pipelines through algorithms that remain analyzable in simplified settings while being effective in practice. Key application domains include cryo-electron tomography (with impact in structural biology and medicine) and medical imaging.

Please see the detailed subject in the attached PDF.