Gard Spreemann

Mathematician with a background in the intersection of topology, data analysis and machine learning. Several years of academic experience as a postdoctoral researcher at the EPFL, and thereafter industry experience as a machine learning research scientist, prior to joining SINTEF Digital.

I love using math and code to make computers solve problems and improve the world!

Education

– PhD, mathematics, Norwegian University of Science and Technology (NTNU)
– MSc, math & physics program, Norwegian University of Science and Technology (NTNU)

Competence and research areas

– Deep learning
– Computer vision
– Data analysis
– Applied topology
– Point cloud massage
– Scientific software development

ORCID

https://orcid.org/0000-0002-5945-0466