Mario Krapp
Data Scientist, GNS Science
Research Interests
- Statistical modelling and machine Learning
- Earth science - past, present, future
- Dynamical systems, complexity
Education
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PhD in Geosciences, 2012
University of Hamburg (Germany), Max Planck Institute for Meteorology
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Diploma in Physics (MSc equivalent), 2008
Technische Universität Berlin
Mario is an environmental data scientist and interested in (almost) everything related to the Earth system. Mario spends his days figuring out how we can we learn from data, how we can better integrate models and data, and how we can make informed decision using the best of both worlds. To do that he is building statistical models that incorporate machine learning and our prior knowledge about the underlying Earth system processes. Examples are future contributions of Antarctica to global sea level rise or past climate sensitivities inferred from the geological record. Mario's tools of trade are programming (Python, C/C++, FORTRAN, Julia, and sometimes R), mathematical and statistical modelling (regression, ordinary differential equations, spectral analysis), and a solid understanding of the Earth system (atmosphere, ocean, ice, land, biosphere).
Mario is currently involved in the Antarctic Science Platform and the MBIE Endeavour programme Te Ao Hurihuri: Te Ao Hou, Our Changing Coast, by programming (Python) combined with a (relatively) solid mathematical intuition.
Mario also works on the ongoing atmosphere-ocean interactions project at the Hub. Read more about it here.
