LabCompass

Fulya Gökalp Yavuz

Mathematics · Purdue University West Lafayette

Mid career · publishing since 2015

Publications

31

Citations

207

Est. group size

Recurring co-author estimate

Active years

11

Publishing since 2015

Research summary
AI-generated

Fulya Gökalp Yavuz works in statistics, developing and applying methods such as robust regression, variable selection, and mixed models to analyze complex data. Much of her recent work applies these statistical and machine learning tools to neuroscience and health data, including brain connectivity, psychotic-like experiences in twins, cognitive workload, and COVID-19 outbreak patterns.

Statistical modeling and robust regressionVariable selection and mixed modelsStatistics applied to neuroscience and brain imaging (fNIRS, connectivity)Machine learning for health and behavioral dataCOVID-19 data analysis and clustering

Publication output has fluctuated over the last decade, with an early peak in 2017, a lull in subsequent years, another rise around 2022, and a relatively steady but modest pace (about 2-3 papers per year) in recent years.

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

Publication cadence
Publications per year over the last 10 years — averaging 2.6/year recently
2017: 8 publications8172018: 1 publication182019: 2 publications192020: 3 publications202021: 2 publications212022: 6 publications222023: 2 publications232024: 2 publications242025: 3 publications2526
Recent publications
Publishes in
  • Journal of Applied Statistics×2
  • Clinical Chemistry and Laboratory Medicine (CCLM)×1
  • NeuroToxicology×1
  • Journal of Multivariate Analysis×1
  • Statistical Papers×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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