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Dr. Yves Staudt

PhD in Actuarial Science

Lecturer

Phone

+41 81 286 37 22

E-mail

Subjects

data science, Tourism 4.0, statistics, Machine Learning, artificial Intelligence, Internet of Things, Deep learning, Data Analytics, data visualisation, Insurance Mathematics

Studies

Computational and Data Science

Yves Staudt is an Associate Professor in Applied Data Science at the Center for Data Analysis, Visualization and Simulation (DAViS). He teaches and conducts research in Data Science, Statistics and Machine Learning, combining them with agile methods. Research is mainly conducted in the application areas of insurance and tourism, although he has also conducted project in other areas such as spatial planning. 

Yves Staudt grew up in Luxembourg and studied mathematics and physics at the University of Fribourg in Bachelor and Master. Besides his studies, he worked at the Commercial and Industrial Vocational School as a mathematics teacher, statistician at tarifsuisse and assistant at the University of Fribourg.

In July 2019, he completed his PhD in Actuarial Mathematics at the University of Lausanne with a specialization in Datascience and Customer Relationship Management (CRM). Applied research as well as teaching at the professional school in Fribourg have allowed him to deepen and explain mathematics in everyday problems. 

Curriculum Vitae

Yves Staudt is an Associate Professor in Applied Data Science at the Center for Data Analysis, Visualization and Simulation (DAViS). He teaches and conducts research in Data Science, Statistics and Machine Learning, combining them with agile methods. Research is mainly conducted in the application areas of insurance and tourism, although he has also conducted project in other areas such as spatial planning. 

Yves Staudt grew up in Luxembourg and studied mathematics and physics at the University of Fribourg in Bachelor and Master. Besides his studies, he worked at the Commercial and Industrial Vocational School as a mathematics teacher, statistician at tarifsuisse and assistant at the University of Fribourg.

In July 2019, he completed his PhD in Actuarial Mathematics at the University of Lausanne with a specialization in Datascience and Customer Relationship Management (CRM). Applied research as well as teaching at the professional school in Fribourg have allowed him to deepen and explain mathematics in everyday problems. 

Field

Data Analytics
Process Data, Visualization and Machine Learning