Built by a researcher, for researchers.
StatInsight was created to close the gap between rigorous statistical methods and the researchers who need them every day.
Making rigorous statistics accessible to every researcher
Statistical analysis is central to evidence-based research — yet for many clinicians and scientists it remains a bottleneck. Engaging a dedicated statistician is not always feasible, and general-purpose tools often demand programming skills or steep learning curves that stand between a researcher and their results.
StatInsight’s mission is to close that gap. We want every researcher — regardless of their statistical background — to be able to perform rigorous, publication-quality analyses independently. That means providing the right tests, the right output, and enough context to understand and report what the data actually shows.
The tool is built on the principle that good software should do the complex work quietly, and surface clear, interpretable results without burying the user in configuration or code.
Scientific Rigour
Every statistical method is implemented to publication standards, with effect sizes, confidence intervals, and power analysis in every result.
Accessibility
Advanced statistics should not be gated behind programming expertise. The interface stays out of the way and lets the researcher focus on their data.
Transparency
Results are presented with full methodological context. Users always know what test was run, why it was selected, and how to interpret the output.
Honesty About Uncertainty
Statistical power and sample size recommendations are surfaced prominently, so users understand the limitations of their analyses and plan accordingly.
Cristian Munteanu, PhD
Founder & Creator
Cristian holds a doctorate in Informatics (summa cum laude) from the Max Planck Institute for Informatics (MPI-INF) in Saarbrücken, Germany — one of Europe’s foremost computer science research institutes.
Following his doctoral work, he joined the Department of Ophthalmology at Saarland University Medical Center (UKS) as a practicing medical statistician embedded within Prof. Dr. Berthold Seitz’s research group — one of Germany’s leading centres for corneal surgery and transplantation.
Over the course of his work at UKS, Cristian co-authored more than 70 peer-reviewed publications covering corneal diseases, refractive surgery, retinal disorders, survival analysis, and clinical trial methodology, accumulating 433 citations and reaching an h-index of 12. StatInsight grew directly from this experience — built to support real research workflows, not abstract use cases.
Timeline
PhD at Max Planck Institute for Informatics
Conducted doctoral research at MPI-INF in Saarbrücken, receiving a doctorate in Informatics summa cum laude. This foundation in computer science and data analysis would directly shape the development of StatInsight.
Embedded statistician at UKS Ophthalmology
Joined the Department of Ophthalmology at Saarland University Medical Center as a practicing medical statistician in Prof. Dr. Berthold Seitz’s research group. Day-to-day work with clinical datasets drove the design of every feature in StatInsight.
70+ peer-reviewed publications
Co-authored more than 70 peer-reviewed publications covering corneal diseases, refractive surgery, retinal disorders, survival analysis, and clinical trial methodology. H-index 12 · 433 citations.
StatInsight — from research tool to desktop app
Developed to address the analytical needs of clinical researchers who lack access to a dedicated statistician. Every feature reflects a real need encountered in active research. Now available to researchers worldwide.
What researchers say
Research conducted at
