Martina Scolamiero

I am an Assistant Professor in Mathematics with specialization in Geometry and Mathematical Statistics in Artificial Intelligence.

My research is in Applied and Computational Topology. I mainly work on defining topological invariants which are suitable for data analysis, understanding their statistical properties and their applicability in Machine Learning.  I am also interested in applications of topological methods to Neuroscience and Psychiatry.

My research is financed by WASP, the Swedish Research Council and the Göran Gustafsson Foundation.

About WASP

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden's largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry.

Read more: https://wasp-sweden.org/

The graduate school within WASP is dedicated to provide skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.

Read more: https://wasp-sweden.org/graduate-school/