US EPA logo

Hi! My name is Wes Slaughter, and I'm an environmental scientist interested in freshwater biogeochemistry, data science, and public health

The site below provides some details about my proffesional experience, research, and hobbies. Feel free to reach out!

westonslaughter@gmail.com
(240) 676 4845

None of the logos used or text and written descriptions below state or imply endorsement or sanction of any kind from the referenced organisations, nor do they represent opinion or official policy of the organisations. There is a directory of sources for all logos or graphics used not produced by the authort at the bottom of the page. All views and statements are completely and entirely my own.

Professional Experience


Bernhardt Biogeochemistry Lab at Duke University, Department of Biology

Data Scientist, Associate in Research


Duke University Biologty Department logo

Fig 0- Duke University, Department of Biology logo
  • Supporting the MacroSheds project- a dataset which integrates stream and river chemistry data from datasets across the united states, and some beyond, as well as supporting data collected from satellite image analysis and other techniques. This data is extracted and curated in R, JavaScript, and Python, and using technologies like Google Earth Engine.
  • Developing a website for this data, the MacroSheds portal, which provides not only access to the data, but tools for insight and analysis- providing opportunities for scientists, stakeholders, and the public alike.
  • Combining knowledge of the field of watershed science, training in molecular biology, and data science and computer programming skills to support the scientific integrity and full stack development of the MacroSheds project, as well as lending support and expertise to the lab in general and other projects as appropriate.


EPA ORD Center for Public Health and Environmental Assessment

Oak Ridge Institute for Science and Education Fellow


US EPA logo

Fig 1- US EPA logo
  • Developing NaKnowBase (NKB)- a database of EPA nanomaterials research- to interface and exchange with databases outside of the EPA using Python and semantic technologies such as RDF, OWL, and SPARQL
  • Collaborating with US and EU federal agencies and universities to develop software and standards to integrate NKB, and potentially other databases, into accepted international ontologies
  • Statistical analysis of nanomaterials data and related data of environmental and public health concern
  • Developing interoporability between siloed datasets that leveraged together could provide insights for nanomaterial environmnetal and toxicological assesment- such as linking a database of nanomaterial chemistry with a database of adverse outcome pathways
  • Writing, analysis, and support for manuscripts communicating research and developed technologies


Sierra Streams Institute

Sierra Nevada AmeriCorps Partnership, River Scientist AmeriCorps


Sierra Nevada AmeriCorps Partnership logo

Fig 2- Sierra Nevada Alliance logo
  • A climate data science project where I assisted in developing a structural equation model of the effects of climate change and land use on a 20-year water quality dataset, including data curation and multivariate data analysis (ordination, z-plots, etc.) Manuscript in progress, presented at 2020 California Water Data Science symposium, and the 2020 Sierra Nevada Alliance conference.
  • Extracted and analyzed data from satellite imagery and rasters using R and Google Earth Engine (Javascript API)
  • Assisting a study exploring the potential link between contaminants from legacy mining (As, Cd, Pb, Hg) to breast cancer rates in rural Northern California, and building a web portal for this study in Python’s Django framework (Python, HTML/CSS, JavaScript)
  • Data analysis and visualization for a study investigating E. Coli outbreaks in a densely populated lake
  • Helping to plan projects and manage volunteers, interns, and field crews for diverse land management projects- such as invasive plant removal, wildlifem onitoring, and fuels reduction.


California SeaGrant Russian River Salmon and Steelhead Monitoring Program

Watershed Stewards Program, AmeriCorps


Russian River Salmon and Steelhead MOnitoring Program logo

Fig 3- Russian River Salmon and Steelhead Monitoring Program logo
  • Conducted salmonid life cycle monitoring through trapping, PIT tagging, snorkeling, electrofishing
  • Stage, flow, temperature, dissolved oxygen data collection, management, and analysis in associated softare (e.g. HOBOware, FlowTracker 2.0, etc.) and Excel
  • Writing, analysis, and support for manuscripts, posters, and reports communicating research and monitoring
  • Coordinating multiple research projects between partner agencies- NGO, CDFW, NOAA, and UC Berkeley research collaborations. Managing standard operaitng procedures, study design, and best data practices between researchers. Experience as a study author with both UC Berkeley and SeaGrant affiliation.
  • Surveying in a large team, coordinating complex schedules, field sites, and vehicle logistics, as well as organizing and using diverse scientific gear- from iPads, handheld GPS, softwares and data protocols, to drysuits, waders, and diessection kits.




UC Berkeley Environmental Science, Policy and Management

Grantham Lab Research Assistant


UC Berkeley Environmental Science policy and Management logo

Fig 4- UC Berkeley Environmental Science Policy and Management logo
  • Co-designed a BACI study on the effect of flow augmentation on salmonid foraging behavior and the phenology of stream food webs; authored on a manuscript from this study, submitted to Ecological Applications
  • Presentation of research at 2018 and 2019 Salmonid Restoration Federation Conference, as well as 2019 American Fisheries Society conference
  • Surveying stream across multiple watersheds in Northern California for flow and geomorphic conditions
  • Use of auto-level for full pool-bed surveys and using Excel to calculate pool volumes as well as analysis of flow-geometry relationships, development of polynomial rating curves




Eel River Critical Zone Observatory

Power Lab Research Assistant


Eel River Critical Zone observatory graphic

Fig 5- graphic design for Eel River Critical Zone Observatory
  • Analyzed salmonid feeding behavior using 3-D videogammetric techniques
  • Performed analysis such as linear biomass regression, rating curves, and calculating pool volumes
  • Sampling and identification of of algae, benthic macroinvertebrates, freshwater fish, as well as habitat conditions such as substrate type and size, percent cover, estimated flow
  • Strong foundation in river food web dynamics, hydrology and fluvial geomorphology, freshwater biogeochemistry, theoretical ecology, and scientific method and principles




Research Projects


MacroSheds

a growing integration of long term stream chemistry datasets, made for ease of access and exploration through the MacroSheds portal


front page of macrosheds.org,

Fig 6- front page of macrosheds.org, 'https://www.macrosheds.org' 11/24/21
  • MacroSheds is an integration of stream chemistry data from across the United States
  • This data has been carefully curated and combined to streamline access and ease of macrosystems analysis of previously siloed water chemistry data
  • To support access and increase impact, this data is available through a portal, which also has in-site graphic and geographic data exploration and analysis tools
  • The portal and dataset are both expanding and improving, with goals to offer only better and better access and tools on top of a growing pool of combined data

NaKnowBase

an EPA ORD Database of Nanomaterials Research


eNanoMapper ontology example, source is

Fig 6- Urban Energy Ontology diagram, used as an example ontology illustration.
  • NaKnowBase is a MySQL database of EPA nanomaterials research
  • There is an international effort for 'linked data' in the field of bioinformatics and specifically in nanomaterial research
  • Semantic techonologies- Resource Description Framework (RDF), Web Ontology Language (OWL), and SPARQL RDF Query Language (SPARQL), provide the means to rigorously define and retrieve information by agreed upon, discrete, and unique identifiers.
  • I am supporting EPA efforts to integrate EPA Research into internationally accepted ontologies for bioinformation
  • My research is centered around developing Python software using a variety of search algorithms for natural language processing of SQL-derived strings and ontologies to perform accurate mapping- robust to extreme heterogeneity in data type, source, and content
  • These efforts present an approach to overcoming traditional stumbling blocks in domestic and international research- siloed and uniteroperable data- with the potential to allow for unprecedented collaboration and leveraging of related data to answer important questions in the field of chemical safety and beyond


Effect of Climate and Land Use on 20 years of Citizen Science Water Quality Data

in a California Sierra Nevada Foothills Watershed


eNanoMapper ontology example

Fig 7- biplot visualiation of Principal Component Analysis with vectors for water quality and climate data variables
  • Sierra Streams institute's team of staff and citizen scientists have been collecting Nitrate, Phosphate, Temperature, pH, E. Coli, and other water quality metricsmonthly at 18 sites in the Deer Creek watershed for the last 20 years
  • Using Google Earth Engine (GEE) to access LANDSAT imagery, as well as the USGS California Basin Characterization Model (CalBCM) climate data set, we were able to collect land use and climate data for that time period as well
  • We are using this data to develop a structural equation model to quanitify how climate and land use may have been effecting water quality in Deer Creek over the last 20 years
  • In support of developing this model, I used JavaScript in GEE, worked with NetCDF files from CalBCM in R, and employed a multitude of data curation, extraction, and management tools to get our data set together and valid
  • Then, I explored the data set with multivariate analysis methods such as Prinicpal Component Analysis and Z-plots
  • The project is still in progress, with final model runs and a manuscript being drafted currently
  • A wonderful aspect of this project was handling the data all the way from the stream, through the lab, through R, and into the manuscript


Effect of Flow Augmentation on Salmonid Foraging Behaviour, Invertebrates, and Water Quality

in a California Stream


eNanoMapper ontology example

Fig 8- an aerial and cross section sketch of our sampling design for study pools
  • Porter Creek is a salmon-bearing tributary to the Russian River in Northern California.
  • Porter creek, like many salmon-bearing creeks in the region, experiences varying degrees of intermittent surface flow during the California dry season.
  • This intermittency can be exaggereated by climate and land use ffects. Much research and funding is going into understanding how to retain salmon populations in Northern California, and in particular, how to maintain them in intermittent streams such as Porter Creek, which make up a substantial and growing portion of California's salmon habitat.
  • Porter Creek, through a unique partnership between government and private landowners, has a pump and set of pipelines which can divert water from a vineyward reservoir into the creek with a controllable schedule and flow.
  • This research project aimed to study the potential effects of this flow on juvenile salmonid behaviour, physical habitat, and invertebrate communities.
  • The study used a Before After Control Impact (BACI) design, and utilized both standard and cutting edge measurement techniques- surveying pool habitat, developing rating curves, sampling benthic macroinvertebrates, and using 3-D videogrammatric methods to quantify fish movement and behavour.
  • One part of this great experience was being able to work on the same research project first as a researcher at UC Berkeley, and later with SeaGrant. It was wonderful getting to be part of both sides of the work, and learning about collaborative research from different perspectives
  • This varied experience would continue, as I would later conduct research with small non-profit (SSI), and then the federal government (EPA) each of which were engaged in multiple projects with other types of research istitutions as well