Welcome to
Advancing science at the confluence of innovation, discovery, and impact.
Three Rivers Research Labs is a Charleston, SC-based technical and scientific advisory practice providing independent due diligence, data pipeline auditing, and research workflow services to life science investors, academic institutions, and research organizations.
With over 8 years of hands-on experience in molecular biology, scientific computing, statistical analysis, and research automation — including extensive work in R, Python, and high-performance computing environments — we bring a level of quantitative rigor to advisory engagements that is rarely available from purely financial or qualitative scientific reviewers.
View Our ServicesTo deliver independent, technically rigorous advisory services that give clients an accurate, quantitative picture of the science behind their decisions.
A world where scientific insight is accessible, actionable, and drives equitable progress for all people.
All engagement materials are handled in isolated, secure computing environments. Every member of an engagement team operates under a binding NDA — full discretion, guaranteed.
Our practice delivers technical advisory and scientific consulting services across several core domains, combining deep domain expertise with rigorous quantitative methods.
End-to-end review of data collection, processing, and analysis pipelines to identify methodological gaps, reproducibility issues, and statistical errors before they affect decisions.
Studying ecosystem dynamics, climate resilience, and sustainable resource management in rapidly changing environments.
Investigating cellular mechanisms and therapeutic targets to improve human health outcomes and disease prevention.
Designing robust, scalable systems that bridge physical and digital worlds for real-world applications.
Scientific and technical due diligence for life science investors and research organizations — assessing study design, data quality, and the validity of scientific claims with quantitative depth rarely available from purely financial reviewers.
Designing, auditing, and automating research workflows using R, Python, and HPC environments — improving reproducibility, efficiency, and the overall quality of scientific output.
Whether you're a potential collaborator, a funding partner, or simply curious about our work — we'd love to hear from you.