Martin Ryner

Martin Ryner is a Researcher at Kungliga Tekniska Högskolan (Royal Institute of Technology) affiliated with the Department of Numerik, Optimering och System. His research, funded by Vironova AB, focuses on generalizing data and comparing topologies for applications in biopharmaceuticals, including gene therapies, vaccines, and cancer therapies observed through electron microscopy.

• Fields of Interest: Data Science, Topology Analysis, Biopharmaceutical Research, Electron Microscopy, Clustering Algorithms, Data Visualization

Ryner's recent work explores Gromov-Wasserstein-based methods for clustering and visualization in low-dimensional spaces, emphasizing computational topology and data orthogonalization. He has contributed to NeurIPS2023 and published an arXiv preprint on these topics.