Johns Hopkins University · Mathematics & StatisticsNeuroStat Innovations
Ciprian M Crainiceanu · Baltimore, Maryland
Research Focus
Dr. Ciprian M. Crainiceanu's lab at Johns Hopkins University focuses on developing advanced statistical methods to analyze neuroimaging data, particularly for diseases like multiple sclerosis (MS). The lab uses innovative modeling techniques to study changes in brain lesions over time and aims to identify new biomarkers that can improve diagnosis and treatment strategies for neurodegenerative diseases. This research is crucial for enhancing our understanding of how such diseases affect brain structure and function.
multiple sclerosisneuroimagingbiostatisticslongitudinal analysisbrain lesionsbiomarker discoveryMRIDiffusion Tensor Imaginggeneralized linear mixed modelshigh dimensional data
Research Aims
4AIM 01Develop biostatistical methods for analyzing longitudinal neuroimaging data.
AIM 02Model the relationship between neuroimaging changes and clinical outcomes in multiple sclerosis.
AIM 03Identify and validate neuroimaging biomarkers for MS severity and progression.
AIM 04Create software for efficient implementation and reproducibility of statistical methods.
Skills the Lab Values
statistical modelingprogramming in Rneuroimaging data analysislongitudinal data analysisgeneralized linear mixed effects modelssoftware implementationdata visualizationbiostatistical methodsmachine learning applications in biostatistics
Output against the department
Publications341top 33% of dept.43rd of 131
this lab
most publishedleast published
Citations16ktop 27% of dept.35th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.