• Source: Scopus
20182024

Research activity per year

Personal profile

Short presentation

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.

Fields of interest

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

Education/Academic qualification

Computer Science, PhD, Department of Computer Science (DIKU), University of Copenhagen, Denmark

1 Apr 201731 Oct 2020

Award Date: 8 Jun 2021

Mathematics, Supplementary coursework, Roskilde University

20162017

Award Date: 20 Jan 2017

Applied Glass Art, BAA, Royal Danish Academy of Fine Art

20082012

Award Date: 1 Jun 2012

Artificial Intelligence, MSc, University of Edinburgh

20102011

Award Date: 24 Nov 2011

Psychology (w/ Computer Science), BA, Lewis and Clark College

20042008

Award Date: 11 May 2008

External positions

Staff Machine Learning Engineer, ServiceNow Denmark ApS

26 Oct 202131 Aug 2024

Data Scientist, Gekkobrain

1 Feb 202026 Oct 2021

Founder, Olling & Co.

2009 → …

Electronics Technician, Back Electronics A/S

20082017

Keywords

  • Faculty of Science
  • Machine learning
  • Probabilistic inference and reasoning
  • Stochastic processes
  • Computational learning theory
  • Computability