Kathlén Kohn
Scholar

Kathlén Kohn

Google Scholar ID: jk2kwWIAAAAJ
Associate Professor at KTH
algebraic geometrymachine learningcomputer visionstatistics
Citations & Impact
All-time
Citations
516
 
H-index
13
 
i10-index
15
 
Publications
20
 
Co-authors
22
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Wallenberg Prize (May 2025)
  • Göran Gustafsson Prize for Young Researchers at UU/KTH (March 2025)
  • Swedish Foundations' Starting Grant: Algebraic Vision (2025-2030)
  • SIAM SIGEST award (2024): A Bridge between Invariant Theory and Maximum Likelihood Estimation
  • Swedish L'Oréal-Unesco For Women in Science prize (March 2023)
  • WASP funded NEST project: 3D Scene Perception, Embeddings and Neural Rendering (2022-2027)
Research Experience
  • Associate Professor, KTH, Stockholm, Sweden (since December 2024)
  • Docent, KTH, Stockholm, Sweden (since September 2021)
  • WASP-AI/Math Assistant Professor, KTH, Stockholm, Sweden (since September 2019)
  • Postdoc, University of Oslo, Norway (January - August 2019)
  • Postdoc, ICERM, Brown University, USA (September 2018 - May 2019)
Education
  • PhD: Mathematics, Technische Universität Berlin, Germany (August 2015 - August 2018)
  • Advisors: Bernd Sturmfels and Peter Bürgisser
  • Thesis: Isotropic and Coisotropic Subvarieties of Grassmannians
  • Master: Computer Science, Paderborn University, Germany (April 2013 - July 2015)
  • Degree: Master of Science (passed with distinction)
  • Thesis: Number of Voronoi-relevant vectors in lattices with respect to arbitrary norms
  • Advisor: Johannes Blömer
  • Master: Mathematics, Paderborn University, Germany (April 2013 - July 2015)
  • Master: Mathematics, Stockholm University & KTH Royal Institute of Technology, Sweden (September 2014 - January 2015)
  • Bachelor: Mathematics, Paderborn University, Germany (October 2010 - March 2013)
  • Degree: Bachelor of Science (passed with distinction)
  • Thesis: Attributbasierte Verschlüsselung mittels Gittermethoden - Mathematische Grundlagen
  • Bachelor: Computer Science, Paderborn University, Germany (October 2009 - March 2013)
  • Thesis: Attributbasierte Verschlüsselung mittels Gittermethoden - Verfahren und Sicherheitsbeweise
Background
  • Research interests include connections of algebraic geometry to discrete geometry, combinatorics, representation theory, statistics, machine learning, computer vision, and music.