My research interests lie in the intersection of computers science, machine learning and probabilistic programming. Currently I am a postdoc in the SPS group of Electrical Engineering department in Eindhoven University of Technology. I am a part of the AiM-TT project (https://aimtt.nl/) and working in collaboration with Delft University on applying Active Inference for traffic management problems in the Netherlands.

Additionally I am working on a high-performant implementation of message passing-based Bayesian inference package called RxInfer (https://rxinfer.com). RxInfer is a part of non-profit open-source organization on GitHub called ReactiveBayes (https://github.com/ReactiveBayes) that develops and maintains a suite of Julia packages for probabilistic programming and Bayesian inference with a focus on reactive and message-passing based inference algorithms. The project mainly focuses on Signal Processing, Scalable Bayesian inference and Active inference applications, but is also aimed to expand the scope of possible applications for message passing in general. Please contact me via email, if you are willing to collaborate or contribute.

Please also visit my personal website here https://bvdmitri.me to learn more about me and the projects I work(ed) on.