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Samantha Gleich, Ph.D.

Samantha Gleich, Ph.D.
Project Scientist

Samantha Gleich, Ph.D.

Project Scientist

Dr. Samantha Gleich is an environmental microbiologist and a member of Integral’s Data Management and Analytics team. As a researcher, she has characterized the composition and function of microbial communities in aquatic ecosystems by leveraging data derived from high-throughput sequencing platforms. Her expertise in bioinformatics, statistics, data analysis, and data visualization provides her with the necessary skills to extract meaningful insights from complex environmental data sets.

Statistical Analysis

Analysis of Time-series Amplicon Sequence Data, North Pacific Ocean Bioinformatically processed amplicon sequence data collected over a 15-year period at the San Pedro Ocean Time-series station. The processed data were used to identify seasonal, annual, and interannual patterns in microbial community composition and function over time. The data were also used in network analyses to identify putative ecological interactions occurring between microorganisms in this system.
Factors Controlling the Bloom Ecology of Potentially Harmful Microalgae, Hudson-Raritan Estuary Conducted an ecological network analysis using 10 years of microbial abundance data and environmental data collected in the Hudson-Raritan Bay. Used network analysis results to identify the biotic and abiotic factors influencing changes in the abundances of harmful algal species.

Data Science

Improving the Performance of Time-series Network Analyses, United States Developed and validated an R package that used generalized additive mixed models to improve the predictive capabilities of network analyses constructed using time-series data.

Oceanography

Characterizing Microbial Communities in Mesoscale Eddies, North Pacific Ocean Bioinformatically processed and analyzed metatranscriptomes (whole community gene expression data) collected in mesoscale eddies of opposite polarity to determine how eddies impact microbial community composition and function in the ocean.
Microbial Community Composition under Varying Nutrient Conditions, North Pacific Ocean Bioinformatically processed and analyzed 16S and 18S amplicon sequence variant data collected during a mesocosm experiment in the North Pacific Subtropical Gyre. Mesocosms were subjected to varying nutrient conditions and microbial communities were sampled over time.

Environmental Monitoring

Effectiveness of the Anacostia River Tunnel Project in Reduction of Eutrophication, Anacostia River (Chesapeake Bay) Sampled the Anacostia River, Chesapeake Bay, on a biweekly basis to quantify nutrient concentrations in the water and to monitor microbial community composition over time following the implementation of a new sewage and stormwater diversion system.
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