LabCompass

Gregory Dexter

Computer Science · Purdue University West Lafayette

Early career · publishing since 2019Rising activity

Publications

32

Citations

56

Est. group size

~1

Recurring co-author estimate

Active years

8

Publishing since 2019

Research summary
AI-generated

Gregory Dexter works on making machine learning systems faster and more efficient, particularly for large language models and recommendation systems. His work spans optimization algorithms, matrix computation methods, and applied topics like model compression, quantization, and query scheduling for practical deployment of large-scale AI systems.

Optimization algorithms for machine learningEfficient large language model deploymentMatrix algorithms and linear algebra methodsRecommender systemsReinforcement learning theory

Publication output has grown from occasional papers in the late 2010s to a more consistent pace of 5-7 papers per year since 2023.

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

Publication cadence
Publications per year over the last 10 years — averaging 4.4/year recently
17182019: 4 publications192020: 1 publication202021: 5 publications212022: 2 publications222023: 5 publications232024: 7 publications7242025: 6 publications252026: 2 publications26
Publishes in
  • arXiv (Cornell University)×16
  • PubMed×2
  • Studies in health technology and informatics×1
  • SIAM Journal on Matrix Analysis and Applications×1
  • Publisher×1
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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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