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About

I’m a data scientist / statistician with 10+ years of experience across academia and industry in the fields of Climate, Environment and Risks. I work with complex data sources to answer questions about the real world. From mapping of landslide risks to predicting the origin of dialects, I specialize in settings with complex data structure (geospatial, time series, correlated observations or hierarchies), deep domain expertise (risks knowledge, dynamical systems or causal relationships), and questions that go beyond simple predictions (inference, probabilistic forecasting, or decisions with non-standard loss functions). Instead of throwing aways all this information, it is much more useful to develop models that integrate them together, combining prior knowledge and data: this is exactly what Bayesian methods excel at.

Expertise #

I have a track record of leading successful data science projects from ideation to productization. I have worked in teams of size 1 to more than 10, on time scales of a few weeks to a few years, across fields and with various stakeholders. In my experience, the upfront cost of defining the problem and understanding what is desired of the data always pays off: with the years I learned the power of working iteratively in complex data science projects, always being open to challenge assumptions and change direction as evidence comes in - basically applying the scientific method to working with data, as the job title implies but doesn’t always entail.

Mastering the statistical techniques and technology is easy by comparison to knowing how data can be used to solve real problems. That being said, here are some of the techniques and tools I have gained expertise with over the years:

  • Programming in R and Python
  • From prototyping to deployment of models in production
  • Statistics and Machine Learning
  • Spatio-temporal data
  • Bayesian inference
  • Probabilistic forecasting
  • Causality

Experience #

See my LinkedIn profile for more detail.

Professional #

  • Senior Data Scientist at Google
  • External Lecturer at ETH Zürich
  • Data Scientist at Swiss Re

Education #

  • PhD in Statistics at ETH Zürich (in collaboration with MeteoSwiss)
  • MSc in Statistics at ETH Zürich
  • BSc in Environmental Sciences at University Lausanne
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