Carlo Seppi was born in Nairobi, Kenya, in 1991. In 2009, he acquired his Abiturat at the German School of Nairobi, which qualified him for university entrance.
In 2009, he started to study mathematics at the Mathematical Institute of the University of Basel (Basel, Switzerland). He received his B.Sc. in Mathematics in 2013 and his M.Sc. in Mathematics in 2015. During his studies, he worked as a teaching assistant for the Mathematical Institute. In 2016, he started his Swiss Civil Service at the Department of Biomedical Engineering of the University of Basel (Allschwil, Switzerland). During this period, he helped to develop novel visualization methods for nuclear medicine to detect sentinel lymph nodes.
Since 2017, he is pursuing his PhD degree in the Planning and Navigation group, Department of Biomedical Engineering of the University of Basel (Allschwil, Switzerland). His project involves solving Inverse Problems in medical applications: e.g., finding the position of sentinel lymph nodes using a pinhole collimator (reconstructing a Tc-99m source using a single image of the detector), reconstruction of the medium velocity and the acoustic source with the help of the Helmholtz equation, and extracting information of the acoustic wave during the ablation of tissue.
U. Nahum, C.Seppi, P. A. von Niederhäusern, S. Pezold, S. K. Haerle and P. C. Cattin. Sentinel lymph node fingerprinting. Physics in medicine and biology. (2019). read
U. Nahum, C. Seppi, and P. C. Cattin. (2019). Joint Inverse Medium and Optimal Control Problem for Acoustic Waves. In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC '19). ACM, New York, NY, USA, Article 8, 9 pages. read
C. Seppi, U. Nahum, P. A. von Niederhäusern, S. Pezold, M. Rissi, S. K. Haerle and P. C. Cattin. (2017) Compressed Sensing on Multi-pinhole Collimator SPECT Camera for Sentinel Lymph Node Biopsy. In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. MICCAI 2017. Lecture Notes in Computer Science, vol 10434. Springer, Cham. read