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Aki Vehtari

Aki Vehtari

ELLIS Institute
Academy Professor
T313 Dept. Computer Science

I work on the integration of computer science and Bayesian statistics, making fundamental contributions Bayesian workflow, probabilistic programming, inference methods such as Laplace, EP, VB, MC, inference and model diagnostics, model assessment and selection, Gaussian processes, and hierarchical models. I'm the leader of the .

Full researcher profile
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aki.vehtari@aalto.fi
Puhelinnumero
+358405333747

Osaamisalueet

Bayesian computational modeling, Bayesian workflow

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  • Computer Science Professors, Academy Professor
  • Computer Science - Artificial Intelligence and Machine Learning (AIML) - Research area, Academy Professor
  • Probabilistic Machine Learning, Academy Professor
  • Professorship Vehtari Aki, Academy Professor
  • Computer Science RA - Machine learning, Data science and AI, Academy Professor