LabCompass

Funda Ergün

Computer Science · Indiana University

OpenAlex
Algorithms and Data CompressionComplexity and Algorithms in GraphsMachine Learning and AlgorithmsCryptography and Data Securitysemigroups and automata theory

Publications

53

Citations

1,218

Est. group size

—

Recurring co-author estimate

Active years

31

Publishing since 1995

Research summary
AI-generated

Funda Ergün works in theoretical computer science, focusing on algorithms and data analysis. Recent work spans two directions: designing fast algorithms for analyzing streaming data (finding patterns like repetition even when some data is missing or mismatched), and applying computational methods to biology, such as reconstructing how tumors evolve from single-cell sequencing data.

Algorithms and data compressionStreaming algorithms and pattern detectionComputational biology and tumor phylogenyGraph algorithms and complexityConsensus and distributed computing

Publication activity has been low and intermittent over the last decade, averaging under one paper per year, with a small resurgence in 2025.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
2017: 1 publication172018: 2 publications2182019: 1 publication192020: 2 publications2202021: 1 publication212022: 1 publication2223242025: 2 publications22526
Recent publications
Publishes in
  • Lecture notes in computer science×2
  • arXiv (Cornell University)×2
  • Bioinformatics×1
  • Nature Computational Science×1
  • Theory of Computing Systems×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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