LabCompass

Jae Ho Chang

Engineering · The Ohio State University

OpenAlex
Established · publishing since 1993
Nuclear reactor physics and engineeringMatrix Theory and AlgorithmsNumerical methods for differential equationsBayesian Methods and Mixture ModelsStatistical Methods and Bayesian Inference

Publications

22

Citations

63

Est. group size

—

Recurring co-author estimate

Active years

32

Publishing since 1993

Research summary
AI-generated

Jae Ho Chang works at the intersection of statistics and engineering, developing efficient mathematical methods for estimating parameters in probability distributions and for solving complex numerical problems like nuclear reactor transport equations. Their work includes creating software tools (such as an R package called MLEce) that let other researchers apply these statistical estimation techniques to their own data.

Statistical estimation methodsBayesian and probabilistic modelingNuclear reactor physics/transport methodsNumerical methods for differential equationsStatistical software development

Publication output was absent from 2017-2020 but has picked up modestly since 2021, averaging about one paper per year over the last five years with a peak of three in 2024.

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

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
171819202021: 2 publications212022: 1 publication222023: 1 publication232024: 3 publications3242526
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • Statistics×1
  • SoftwareX×1
  • Stat×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 19, 2026.

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