Skip to content
View JinwooK-res's full-sized avatar

Block or report JinwooK-res

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JinwooK-res/README.md

Jinwoo Kim

Environmental researcher working on exposure assessment, risk analysis, and environmental data analysis.

Current interests include environmental exposure, quantitative risk assessment, microplastics, data integration, ontologies, and knowledge graphs.

Featured Projects

Computational tool for reproducing dietary microplastics exposure calculations from published data.

  • React dashboard and Streamlit interface
  • Exposure and particle-mass calculations
  • Automated calculation tests

Early-stage project for structuring links between microplastic occurrence, exposure, and toxicological evidence.

  • RDF/OWL data modeling
  • Exposure–toxicity evidence mapping
  • SPARQL queries
  • Study-level provenance

Python workflow for evaluating synthetic VOC proficiency-testing data and measurement variability.

  • TVOC and toluene proficiency metrics
  • Z-score and relative-error analysis
  • Chamber and sampling-volume variability
  • QA/QC visualizations

Text analysis of synthetic survey data on carbon black demand and applications in the context of turquoise hydrogen production.

  • TF-IDF analysis
  • NMF topic extraction
  • Rule-based demand categories
  • Survey-result visualization

Research Interests

I am interested in using structured data and computational methods to support environmental exposure and risk assessment, particularly where information is distributed across different datasets and evidence sources.

Current areas of interest include exposure data harmonization, ontology-based data integration, knowledge graphs, and quantitative risk analysis.

Background

  • M.S. in Environmental Science and Ecological Engineering, Korea University
  • Environmental testing and R&D experience at Korea Conformity Laboratories
  • Research experience in microplastics, exposure assessment, VOC measurement, and environmental QA/QC

Links

Google Scholar

Popular repositories Loading

  1. JinwooK-res JinwooK-res Public

    Personal Portfolio & Research Archive

  2. microplastic-exposure-calculator microplastic-exposure-calculator Public

    Research-oriented calculator for estimating dietary microplastics exposure using transparent, reproducible, and testable exposure calculations.

    TypeScript

  3. stock-return-forecasting stock-return-forecasting Public

    Paper-inspired walk-forward ML study of S&P 500 relative-return forecasting with Random Forest, LightGBM, and an out-of-sample Top-10 portfolio backtest.

    Python

  4. carbon-black-demand-nlp carbon-black-demand-nlp Public

    Synthetic NLP workflow for structuring industrial standardization and commercialization demands for turquoise-hydrogen-derived carbon materials.

    Python

  5. voc-proficiency-evaluation voc-proficiency-evaluation Public

    Python workflow for VOC proficiency evaluation and measurement-variability analysis using synthetic data.

    Python

  6. microplastic-exposure-toxicity-kg microplastic-exposure-toxicity-kg Public

    Ontology-driven knowledge graph for linking foodborne microplastic occurrence, exposure, and toxicological evidence.