Fynn Bachmann
Scholar

Fynn Bachmann

Google Scholar ID: Wa4htm8AAAAJ
PhD Student, UZH
Machine LearningComputational Social ScienceDimensionality ReductionActive Learning
Citations & Impact
All-time
Citations
16
 
H-index
3
 
i10-index
0
 
Publications
4
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Publications can be found on ArXiv and Google Scholar profile.
Research Experience
  • Current research is centered around algorithms in Wiki Surveys (pol.is) and Voting Advice Applications (smartvote.ch).
Education
  • Master's degree in Machine Learning from the University of Tübingen; Bachelor's degree in Physics from the University of Heidelberg; Stayed two years abroad in Grenoble, France, and in Utrecht, Netherlands.
Background
  • Research Interests: Machine Learning, Computational Social Science, Dimensionality Reduction, Active Learning, Wiki Surveys, Voting Advice Applications, Deliberation Platforms. Short bio: Joined the DDIS group at the Institute of Informatics as a Ph.D. student in September 2022.
Miscellany
  • Interested in Creative Writing and all kinds of board games.