Better Together: Why Both Open-source and Commercial Tools are Needed to Address Complex Problems
Better Together: Why Both Open-source and Commercial Tools are Needed to Address Complex Problems

Abstract: 

The influence of environmental exposures on human health and disease is gaining focus from healthcare professionals, scientists, and policy makers. By combining datasets generated by the CDC with those from academic and industry research studies, IndiOmics has created multi-omics methods for modeling how chemical exposures can impact cellular behavior and health. Our data science approaches combine open-source tools and secure SAS environments to analyze variables related to analytical chemistry, microscopy, and biomarker detection, resulting in visualizations of both individual and population-level outcomes. Our big goal for big data is to create awareness of how environmental exposures occur and how they can be prevented via modifiable and sustainable lifestyle choices.

Bio: 

As a North Carolina native, Dr. Strong moved back to the Wilmington area to study water contamination and health effects concerns in 2017. Prior to that, she attended NC State University for Biomedical Engineering, East Carolina University for a Biology MS, and The Medical University of South Carolina for a PhD in Marine Biomedicine and Environmental Sciences. After starting a non-profit in 2012, she founded IndiOmics in 2019 and combined the two as a social enterprise with the common goals of assessing and addressing environmental exposures of concern.

Open Data Science

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