I am a currently working as a postdoc at CWI (Centrum Wiskunde en Informatica) in the Machine Learning group with Prof. dr. Peter Grunwald.

I am broadly interested in analyzing statistical and machine learning methods from a theoretical perspective. In particular, I study asymptotic properties of Bayesian procedures; relational data, such as networks and graphs; and performance guarantees for machine learning algorithms. I specialize in high-dimensional and nonparametric methods.

My work explores limitations of estimation methods and shows how to tune them in order to achieve optimal performance. Topics include inhomogeneous Poisson processes, frequentist Bayesian analysis, generalized Bayes and Gibbs posteriors, logistic regression, small ball probabilities, inference on large graphs, and sampling from networks.

Office: L133, Science Park 123
1098 XG Amsterdam
The Netherlands

Email: alisa  (at) cwi (dot) nl


Machine Learning, Nonparametric Bayesian Analysis, Asymptotic Statistics, Networks, Inference on Graphs.