CK DataLab Inc. works alongside clinical, academic, and public health teams — designing studies, modeling disease, and building the analysis pipelines behind decisions that affect patient care.
We embed with research teams from protocol to publication, so the methods behind a result are as sound as the result itself, and every model, script, and figure can be defended to a reviewer, a regulator, or a co-author.
Study design, sample size and power, survival and mixed-effects models, and analysis for clinical trials and regulatory submission.
Cohort, case-control, and surveillance study design, transmission and outbreak modeling, and causal inference on observational data.
Curation of EHR, claims, and registry data into reproducible pipelines, with clear visualization for research and clinical teams.
Predictive and clinical risk models, validated and calibrated for real-world deployment rather than benchmark performance alone.
Language models applied to clinical notes and literature, decision-support prototypes, and interpretable AI suited to regulated research settings.
Tell us about your study, your data, or the question you're trying to answer. We'll follow up to scope the work together.
Email hello@ckdatalab.com