PhD fellow at the Copenhagen Centre for Social Data Science, University of Copenhagen, visiting researcher at the Technical University of Denmark (DTU), MScEng in Digital Media Engineering from DTU, former student researcher at the Uri Alon lab at the Weizmann Institute of Science, former Data Scientist at Trustpilot, and seasoned teaching assistant in academia. Areas of expertise are complex networks, machine learning and data visualization.
Ulf is a PhD fellow at the Copenhagen Centre for Social Data Science (SODAS, University of Copenhagen) with a masters degree from the Technical University of Denmark in Digital Media Engineering. He completed his master thesis at the Weizmann Institute of Science in Israel, with the Uri Alon Lab, investigating how archetypes in personality data support evolutionary behavioral strategies. He has worked part time as Data Scientist at Trustpilot developing fraud detection systems, as an animation artist with Sterlitech and as a teaching assistant at DTU in the courses Physics 1 and Computational Tools for Big Data. His academic background is within the field of Physics and Nanotechnology, where he has co-authored work on membrane module optimization. He is the 2016 winner of the inaugural Data Stories visualization competetion by Science Magazine. His research focusses on community formation, dyad interaction and information spreading in complex multi-channel temporal networks.
- Coding (Python, R, Matlab, JS)
- 3D Animation (Blender)
- Machine Learning/Signal proc.
- Web Scraping/Crawling
- Social data analysis
- Academic Research and Writing
- Statistical Modeling
- Communicating and Teaching
- Data visualisation (D3, MPL)
- Literature research
Paper CV Working experience with a number of Big Data tools, including Hadoop MapReduce, Apache Spark, database systems (SQL, NoSQL, Graph) and Amazon ML.