Profile summary

Key skills

• Data analysis

• Physics & astrophysics

• Scientific methods

• Machine learning

Dr. Ben de Vries

eScience Research Engineer

Profile summary

Key skills

Data analysis

Physics & astrophysics

Scientific methods

Machine learning

Ben did his masters in physics and astrophysics at the UvA (cum laude) and his PhD in Leuven (Belgium). He worked on modeling the interaction between the radiation field and collections of solid-state particles. This to interpret infrared observations of stellar outflows and planet forming disks.

After his PhD he did two postdocs, one at Stockholm University and a second at the European Space Agency (ESTEC, The Netherlands). During those years he continued work on radiative transfer modeling and infrared observations and also focused on making and analyzing laboratory infrared spectra of meteoritic minerals. The work of Ben and colleagues led to multiple international publications (among which in Nature).

Ben is interested in different scientific disciplines, data analysis and visualization and he looks forward to developing himself in machine learning techniques. He uses python for most of his work and, among others, also has experience with sql, java and Fortran.

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