I have been working on the mathematical foundations of algorithms in 3-D computer vision and 3-D computational imaging. Recently my research has focused on Structure from Motion and Cryo-Electron Microscopy Imaging, which respectively asks to recover the 3-D structure of stationary scenes (e.g. Eiffel Tower) and macromolecules (e.g. Covid-19 spike protein) from their 2-D images. In these fields, I aim to develop fast and explainable algorithms that are robust to corrupted and noisy data, by leveraging advanced tools in computational geometry, algebra, statistics, signal processing and nonlinear optimization.