I'm involved in a project focused on developing a model and algorithm for 4D reconstruction of materials undergoing in-situ experiments in electron microscopes. In-situ experiments refer to scientific tests or observations conducted directly in the environment where the phenomenon naturally occurs. For example, studying cells or tissue inside the body without removing them.
Martin Ryner
Research Engineer
I'm a research engineer focusing on large scale non-convex optimization problems that can be solved using reformulatations, tight relaxations and approximations that exploit the structure of the problem.
Large scale non-convex optimization problems
I'm a research engineer in optimization and I am employed at the division of Applied Mathematics (TIMA).
CV in brief
Martin Ryner earned his PhD in applied mathematics from KTH in 2025. His research focus was on global optimisation problems involving correspondences, couplings, and assignment challenges—particularly in applications such as clustering and non-trivial distance metrics like the Wasserstein and Gromov-Wasserstein distances.
Prior to his doctoral studies, he founded several companies in the fields of medicine, structural biology, and data analysis.
Martin Ryner has approximately twenty years of experience in electron microscopy applications, primarily for morphological evaluation—which means assessing the shape and structure of cells or tissues, such as in the analysis of biopsy samples.
He has also worked with electron microscopy in quality control of bioproduction in areas such as gene therapy (a medical treatment where genes in the body’s cells are modified or replaced to treat or prevent disease), vaccines, and oncology (the study of cancer and tumor diseases).
Martin Ryner also has experience in the design and manufacturing of electron microscopes.
He possesses relevant computing and programming skills in industrial automation, and holds a Master of Science in vehicle engineering, also from KTH.