LabCompass

Ananth Grama

Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette

Established · publishing since 1992

Publications

402

Citations

13,123

Est. group size

~5

Recurring co-author estimate

Active years

35

Publishing since 1992

Research summary
AI-generated

Ananth Grama works on high-performance and parallel computing methods applied to problems in genomics, network science, and machine learning. Recent work spans generative modeling for biological data (e.g., linking gene expression to cell images), reinforcement learning, causal inference, and fault-tolerant numerical algorithms. The research tends to combine algorithmic and systems-level computing techniques with applications in biology and image or motion generation.

Parallel and distributed computingBioinformatics and genomic data analysisGenerative modeling (rectified flow, diffusion-style methods)Machine learning and reinforcement learningGraph-based and network algorithms

Publication output has fluctuated over the last decade but shows a recent increase, with 2025 being one of the most productive years.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 9.4/year recently
2017: 10 publications172018: 17 publications17182019: 5 publications192020: 9 publications202021: 6 publications212022: 10 publications222023: 8 publications232024: 9 publications242025: 14 publications252026: 6 publications26
Recent publications
Publishes in
  • arXiv (Cornell University)×30
  • bioRxiv (Cold Spring Harbor Laboratory)×6
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics×3
  • Briefings in Bioinformatics×2
  • Scientific Reports×2
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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 20, 2026.

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