
Welcome
CLarity from the summit
Elevating understanding through cutting-edepidemiologic analytics.

Elevating understanding through cutting-edepidemiologic analytics.
At Summit Epi Analytics, we bring perspective to complexity.
Our expertise in infectious disease modeling, causal inference, and biostatistical design helps partners in pharma, biotech, and public health anticipate risk, evaluate impact, and act with confidence.
From the summit view, every pattern tells a story — and every decision is informed by evidence.
At Summit Epi Analytics, we combine the rigor of biostatistics with the foresight of epidemiologic modeling to help organizations make confident, data-driven decisions.
Our work spans infectious disease surveillance, clinical trial design, and real-world evidence generation — translating complex data into actionable insight.
From early warning systems to causal inference frameworks, we guide partners through uncertainty with clarity, precision, and perspective.
Whether advising on outbreak risk, designing a study, or forecasting the next horizon, Summit Epi Analytics provides the view from above — where evidence comes into focus and strategy takes shape.
Summit Epi Analytics was founded by Dr. Nicole Carnegie, a biostatistician and epidemiologist with deep experience at the intersection of infectious disease modeling, causal inference, and clinical research.
Dr. Carnegie has led teams developing outbreak forecasting systems, early warning platforms, and risk models used by public health agencies and industry partners to anticipate and respond to emerging threats.
With a background spanning academia, biotech, and applied public health, she brings both scientific rigor and practical insight to every engagement.
At Summit Epi Analytics, Dr. Carnegie’s goal is simple: to help organizations see further — turning data into foresight, and foresight into impact.
At Summit Epi Analytics, we help clients navigate complex public health and clinical questions through rigorous, transparent, and forward-looking analysis.
Our expertise spans the full spectrum of quantitative epidemiology and biostatistics, including:
Building custom models to anticipate outbreak dynamics, evaluate intervention impact, and inform public health strategy.
Designing and analyzing studies that connect clinical data to real-world outcomes, ensuring robust, reproducible evidence.
Applying advanced statistical frameworks to estimate causal effects, optimize trial design, and strengthen regulatory submissions.
Developing data-driven tools to detect emerging trends and provide timely, actionable insight for decision-makers.
Bridging science and strategy to support governments, NGOs, and industry partners in designing effective, evidence-based responses.
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