Data Science in Biology

Data science plays a vital role in advancing the fields of Ecology, Epidemiology, and Genomics. By employing sophisticated demographic and disease simulations, we can make accurate predictions about populations and their pathogens. Furthermore, the management, access, and analysis of vast amounts of data, including genomic data, necessitate robust programming and data science techniques.

Ecology with Data Science

At QSC, our team possesses extensive expertise in developing ecological models for populations, metapopulations, and metacommunities. These sophisticated analyses enable us to predict population sizes and movements based on various environmental conditions. Through our research, we contribute to the ecological data scientific literature with examples such as:

• Anthropogenic factors predict movement of an invasive species
• Machine learning to classify animal species in camera trap images: Applications in ecology
• Automated classification of bat echolocation call recordings with artificial intelligence
• Propagule size and structure, life history, and environmental conditions affect establishment success of an invasive species

Epidemiology with Data Science

Using observed patterns from historical disease surveillance data, we employ data science techniques to predict future transmission patterns and conduct risk assessments. Our expertise in epidemiology contributes to the scientific literature with examples such as:

• Detection error influences both temporal seroprevalence predictions and risk factors associations in wildlife disease models
• Accounting for heterogeneous invasion rates reveals management impacts on the spatial expansion of an invasive species

Genomics with Data Science

At QSC, our scientists leverage high-performance computing to study the genomes of wildlife and plants. This approach allows us to gain valuable insights into species evolution and develop effective population management strategies. Our contributions to the scientific literature in genomics include examples such as:

• Highly variable reproductive isolation among pairs of Catostomus species
• Analysis of Population Genomic Data from Hybrid Zones
• Speciation, species persistence and the goals of studying genomic barriers to gene flow
• Mixed ancestry from wild and domestic lineages contributes to the rapid expansion of invasive feral swine

Work with QSC

If you are interested in utilizing these cutting-edge techniques to address questions relevant to your business or research, please Contact Us at QSC. Our team is ready to provide tailored solutions and collaborate with you to drive innovation and success.