About
The Statistician Behind the Science.
Rigorous methods. Clear communication. Research that actually moves forward.
"I'm a biostatistician, epidemiologist, and clinical research consultant who believes great research starts long before the first data point is collected. From study design and protocol development to statistical analysis, interpretation, and reporting, I understand what it takes to turn complex research questions into meaningful, reliable evidence. I founded Pretty Significant on a simple belief: good science deserves more than just numbers. It deserves thoughtful methodology, rigorous analysis, and a research partner who understands the bigger picture. Because the goal isn't just statistical significance. It's research that makes a difference."
My background spans grant writing, protocol development, statistical analysis planning, data management, and DSMB support across a range of therapeutic areas. I've worked with CROs, academic research teams, and early-stage biotech companies — each with their own timelines, constraints, and standards.
I hold an MSPH in Biostatistics and am currently a DrPH Candidate in Epidemiology and Biostatistics. That dual lens — quantitative rigor plus population-level thinking — shapes how I approach every engagement.
My philosophy is simple: good statistics shouldn't be a black box. I work collaboratively, explain my methods clearly, and make sure you understand the story your data is telling — not just the p-value.
Credentials & Training
MSPH in Biostatistics
Graduate School of Public Health
Advanced training in statistical theory, clinical trial methodology, and applied biostatistics
DrPH Candidate in Epidemiology
Doctoral Program in Public Health
Dissertation-level research in epidemiologic methods and population health
How I Work
Collaborative by design
I embed myself in your project, not just your dataset. You'll always know what I'm doing and why.
Rigorous by training
Every analysis follows best practices for the study design — no shortcuts, no hand-waving.
Clear in communication
I translate complex statistical output into language your team, your IRB, and your stakeholders can act on.
Honest about scope
I'll tell you what your data can and can't support. Good science requires that kind of integrity.
Ready to work together?
Whether you're at the protocol stage or deep in analysis, I'd love to hear about your project.
Get in Touch