Researcher in applied and theoretical aspects of machine learning, including:

• Probabilistic inference and reasoning
• Stochastic processes
• Computability and learning theory

Ongoing Projects #

Currently affiliated with the iAware project, in collaboration with Systematic, PowerNet, and Bispebjerg Hospital. Investigating the use of location data for predictive workflow models.

Previous Projects #

Previously affiliated with the Digital Research Centre Denmark (DIREC) research consortium, as industrial postdoc at University of Copenhagen and ServiceNow. Investigated techniques for analyzing large datasets generated by Enterprise Resource Planning (ERP) systems.

Teaching #

Guest lecturer, assistant teacher and tutor in computer science, data science, machine learning, mathematics, and software engineering. Host to numerous international exchange students (undergraduate and postgraduate) through the Erasmus+ internship program.

Other #

Professionally trained glass artist, with ongoing projects developing digital glass fabrication technologies.