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Data Science in Biology

For agencies, NGOs, and scientific teams, we build ecological and epidemiological models that improve forecasting quality and produce scientifically defensible results for policy and management.

Who we support

Public agencies, conservation organizations, and research groups handling complex ecological and disease data.

Typical outcomes

Stronger model transparency, clearer uncertainty estimates, and evidence that can withstand peer review.

Engagement model

Build reproducible data analysis pipelines, transfer methods to your team, and write manuscripts.

Case Study: Mapping Wildlife Disease Risk to Guide Surveillance

A wildlife management agency needed to determine where disease monitoring should be concentrated across multiple watersheds with limited surveillance resources. QSC developed a spatial disease risk model that integrated wildlife observations, environmental data, and landscape connectivity to identify areas where transmission is most likely.

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Environmental Data Science

We develop reproducible analysis pipelines across ecology, epidemiology, and genomics so teams can make policy and management decisions with confidence.

Data Science for Ecology

Our ecology models support population forecasting, scenario testing, and management evaluation for complex environmental systems.

Epidemiology with Data Science

Using surveillance and observational data, we estimate transmission risk and forecast likely outbreak pathways under alternative interventions.

Genomics with Data Science

Our genomics workflows use scalable computing to support species monitoring, evolutionary inference, and applied conservation planning.

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Have Environmental Questions?

If you are interested in utilizing these cutting-edge techniques to address questions relevant to your business or research, contact us at QSC. Our team is ready to provide tailored solutions and collaborate.

Book a Free 30-Minute Data Science Assessment