Christoph Grunau
Scholar

Christoph Grunau

Google Scholar ID: kORDDGsAAAAJ
ETH Zurich
Theoretical Computer Science
Citations & Impact
All-time
Citations
637
 
H-index
16
 
i10-index
21
 
Publications
20
 
Co-authors
3
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Publications:
  • - Towards True Work-Efficiency in Parallel Derandomization: MIS, Maximal Matching, and Hitting Set (FOCS 2025)
  • - Density-Dependent Graph Orientation and Coloring in Scalable MPC (PODC 2025)
  • - Near-Optimal Deterministic Network Decomposition and Ruling Set, and Improved MIS (FOCS 2024) - Best Paper Award at FOCS'24
  • - Parallel, Distributed, and Quantum Exact Single-Source Shortest Paths with Negative Edge Weights (ESA 2024)
  • - Work-Efficient Parallel Derandomization II: Optimal Concentrations via Bootstrapping (STOC 2024)
  • - Dynamic O(arboricity) coloring in polylogarithmic worst-case time (STOC 2024)
  • - Fully Dynamic Consistent k-Center Clustering (SODA 2024)
  • - Conditionally Optimal Parallel Coloring of Forests (DISC 2023)
  • - Work-Efficient Parallel Derandomization I: Chernoff-like Concentrations via Pairwise Independence (FOCS 2023)
  • - Noisy k-means++ revisited (ESA 2023)
  • - Nearly Work-Efficient Parallel DFS in Undirected Graphs (SPAA 2023) - Best Paper Award at SPAA'23
  • - Deterministic Massively Parallel Symmetry Breaking for Sparse Graphs (SPAA 2023)
  • - Faster Deterministic Distributed MIS and Approximate Matching (STOC 2023)
  • Awards:
  • - EATCS Distinguished Dissertation Award 2025
  • - ACM-EATCS Principles of Distributed Computing Doctoral Dissertation Award 2025
Research Experience
  • Visiting Researcher at MIT from February 2023 to February 2024; currently a postdoctoral scholar at ETH Zurich in the research group of Rasmus Kyng.
Education
  • Ph.D.: December 2024, ETH Zurich, advised by Mohsen Ghaffari.
Background
  • Research Interests: Theoretical computer science, focusing on distributed algorithms, parallel algorithms, and clustering algorithms.
Miscellany
  • Contact: cgrunau at inf.ethz.ch