Niclas Boehmer
Scholar

Niclas Boehmer

Google Scholar ID: hrz1pVwAAAAJ
Hasso Plattner Institute
Computational Social ChoiceAI for Social GoodAlgorithmic Game TheoryParameterized Complexity
Citations & Impact
All-time
Citations
650
 
H-index
15
 
i10-index
27
 
Publications
20
 
Co-authors
61
list available
Resume (English only)
Academic Achievements
  • Recipient of the 2023 Victor Lesser Distinguished Dissertation Award, Best Student Paper Award at AAMAS 2023, and Best Paper Award at WINE 2020.
Research Experience
  • Currently a Juniorprofessor (Assistant Professor with Tenure Track) for Algorithmic Decision Making and Society at the Hasso Plattner Institute (HPI), University of Potsdam. Previously, worked on AI for Social Good at Harvard University.
Education
  • PhD in Theoretical Computer Science from TU Berlin, supervised by Rolf Niedermeier and Markus Brill; Postdoc at Harvard University with Milind Tambe, working on AI for Social Good.
Background
  • Research interests bridge theoretical computer science, game theory, and AI to design algorithms that make fair and transparent decisions for groups of individuals with competing interests. This work encompasses preference aggregation, fairness in AI selection systems, and the allocation of scarce resources. A long-term goal is to achieve positive societal impact by developing and applying algorithmic methods grounded in rigorous theoretical research.
Miscellany
  • Values interdisciplinary work at the intersection of computer science and social sciences.