Aki Vehtari
Academy Professor
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 Bayesian workflow group.
Full researcher profile
https://research.aalto.fi/...
Email
aki.vehtari@aalto.fi
Phone number
+358405333747
Areas of expertise
Bayesian modeling, Statistical analysis, Epidemiology, Brain signal analysis, Machine learning
Honors and awards
Youden Award in Interlaboratory Testing from the American Statistical Association
Youden Award in Interlaboratory Testing from the American Statistical Association awarded to paper Sebastian Weber, Andrew Gelman, Daniel Lee, Michael Betancourt, Aki Vehtari, and Amy Racine-Poon (2018). Bayesian aggregation of average data: An application in drug development. Annals of Applied Statistics, 12(3):1583-1604.
Palkinto tai huomionosoitus tuotoksesta
Tietotekniikan laitos
Jan 2020
Member of the winning team (Särkkä, Vehtari & Lampinen) in Time Series Prediction Competition - The CATS Benchmark 2004
Sijoittuminen kilpailussa tai osallistuminen kutsukilpailuun
Tietotekniikan laitos
Jan 2004
2016 De Groot Prize
The DeGroot Prize, in honor of Morris H ("Morrie" DeGroot, is awarded to the author or authors of an outstanding published book in Statistical Science
Palkinto tai huomionosoitus tuotoksesta
Tietotekniikan laitos
Jun 2016
Research groups
- Computer Science Professors, Akatemiaprofessori
- Computer Science RA - Machine learning, Data science and AI, Akatemiaprofessori
- Professorship Vehtari Aki, Akatemiaprofessori
- Probabilistic Machine Learning, Akatemiaprofessori