Earth scientist – University of Bern

Pierre Lanari

Multidisciplinary geoscientist, I am Assistant Professor and Head of the Computational Petrology and Geochemistry Group at the Institute of Geological Sciences at the University of Bern (Switzerland). This website contains research material such as papers and links to computer programs I have developed.

My Experience

I carry out fundamental research in computational petrology and geochemistry to quantify key metamorphic processes.

I obtained my PhD in Geology from the University of Grenoble in 2012. My work focused on the development of thermodynamic models for low-grade metamorphic minerals and the application of quantitative compositional mapping to the study of the geodynamic evolution of mountain belts, such as the Alps and the Himalayas. My supervisors were Olivier Vidal and Stephane Schwarz.

In 2012, I moved to the University of Bern, first as a postdoc and then as an assistant in the petrology group of Prof. Martin Engi. In 2015 I became lab manager of the EPMA lab and senior research assistant in the petrology group of Prof. Jörg Hermann. Since 2020 I am Assistant Professor and Head of the Computational Petrology & Geoschemistry Group.

University of Bern

Assistant Professor

Leader of the research group Computational Petrology

Since 2020

University of Bern

Senior Research Scientist

Oberassistant in Petrology 

2018-2020

University of Bern

Research scientist

Postdoc and Assistant in Petrology. EPMA Lab Manager since 2015

2012-2018

University of Grenoble

Teaching Assistant

Petrology and Structural Geology

2009-2012

You don’t have to be crazy to work here. We’ll train you! 

 

my Skills

My recent achievements include the development of computational tools and thermodynamic models that underpin process-oriented studies to deepen our understanding of complex metamorphic systems.

  • Thermodynamics
  • Compositional Mapping
  • Petrochronology
  • Artificial intelligence

Thermodynamics

  • Bingo-Antidote
  • GrtMod
  • Database optimisation
  • Oxygen isotopes modeling

Compositional mapping

  • XMapTools
  • Classification
  • Calibration
  • Data vizualisation

Petrochronology

  • Thermobarometry
  • Mineral dating
  • Subduction Zones
  • Barovian Metamorphism

Artificial intelligence

  • Machine learning
  • Classification
  • Neural network
  • Deep learning

Selection of software, databases & programs