Theodoros Vasiloudis

Hey there, I’m Theodoros (Theodore) Vasiloudis and I’m a Machine Learning researcher at the Swedish Institute for Computer Science in Stockholm and a PhD student at KTH.

My research deals with large scale learning for graphs and decision trees, including the development of novel algorithms and contributions to data analytics frameworks. The projects that I have been involved in included developing algorithms that make use of streaming frameworks such as Apache Flink and Apache Samoa, and contributing to the design and implementa- tion of learning systems capable of handling massive datasets, such as the machine learning library for Apache Flink. As a committer for Apache Flink, I am responsible for coordinating the machine learning efforts for the project.

A research area that I am currently exploring is decision trees, and more specifically calculating the uncertainty in the predictions of random forests, with the aim of bringing this to online learning as well.