I am a PhD student at BIASlab, primarily interested in the theory of learning. My PhD project concerns transferring Free Energy Principle-based design from an academic neuroscientific interest to a method of engineering real-time learning systems, in particular in the context of situated design of augmented hearing reality algorithms. Specifically, I focus on developing hierarchically organized Active Inference agents that can plan over different timespans. At Lazy Dynamics, I try to bring these ideas to practice by developing biologically inspired AI agents.

As an amateur football and futsal player at Totelos, I am especially intrigued by the application of Machine Learning and other data-driven techniques in sports.

Current Interests and Projects:

• Bayesian Machine Learning and Active Inference, designing bio-inspired real-time learning intelligent agents using Free Energy Minimisation.
• Julia programming language and its ecosystem, especially the development of an Active Inference ecosystem in Julia (see RxEnvironments.jl and RxInfer.jl)
• Usage of gradient-based methods in the analysis and improvement of sport performance. Co-owner of MoreMovement, where I try to integrate state-of-the-art learning techniques in the world of sports.

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