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qselmer/README.md

Marine Quantitative Ecologist & Fisheries Scientist

I develop and integrate statistical, computational and ecological approaches to assess marine populations, fisheries and ecosystem change. My work combines stock assessment, spatio-temporal modelling, population and community dynamics, life-history theory, environmental information and multidimensional indicators to quantify uncertainty, diagnose changes in stock condition and support adaptive, ecosystem-based decision-making. I focus on small pelagic fish and Eastern Boundary Upwelling Systems (EBUS), while developing transferable methods for highly variable and data-limited marine systems.

For research collaboration, scholarships or recruitment: qselmers@gmail.com

Profile views

Academic website Google Scholar ResearchGate ORCID Clarivate LinkedIn X

Top programming languages GitHub profile statistics

Research focus

  • 🐟 Quantitative marine ecology, fisheries science and stock assessment.
  • 📈 Population and community dynamics, recruitment, growth and life-history variation.
  • 🗺️ Spatio-temporal modelling, statistical ecology and marine ecosystem indicators.
  • 🌊 Small pelagic fish and ecological responses within Eastern Boundary Upwelling Systems.
  • 🧭 Multivariate stock-state diagnostics, thresholds, regime shifts and pressure–state relationships.
  • 🧩 Integration of biological, fishery and environmental evidence for adaptive management advice.
  • 💻 Reproducible scientific workflows in R, Python, C++, Julia, Git and GitHub.

Scientific software and educational projects

Access legend: 🔓 public repository · 🔒 private repository. The access status and main language are refreshed automatically from the GitHub API; the scientific purpose and development stage remain manually curated.

Scientific packages

Access Project Purpose Main language Stage
🔓 Public seasignals Detects and characterizes marine environmental signals, including ENSO-related phase, magnitude and temporal variability. R v0.1.0 · Active development
🔓 Public oceancube Builds reproducible oceanographic data cubes for marine ecology, fisheries indicators, climatologies, anomalies and stock-oriented environmental analyses. R v0.0.0.9000 · Active development

Educational projects

Access Project Purpose Main language Stage
🔓 Public R-LabCore Reusable examples and learning workflows for scientific programming, statistical analysis and reproducible research in R. R Educational development
🔓 Public TMB-LabCore Progressive examples for statistical modelling with Template Model Builder, automatic differentiation and R/C++ integration. TeX Educational development

Recent publications

Output legend: 📄 published or publicly available scholarly output. Entries are generated in APA style from ORCID and, when a DOI exists, enriched with Crossref metadata. Titles remain plain text and the external link is placed at the end of each reference.

  • 📄 Quispe-Salazar, E. (2026). Multivariate Health Index of the anchovy: Understanding the dynamics of small pelagic fish under environmental variability. SPF-2026 Book of Abstracts: 2026 Small Pelagic Fish International Symposium. View publication
  • 📄 Quispe-Salazar, E. (2026). Critical points of natural and anthropogenic pressures and responses in the state of the north--central anchovy stock in the pelagic system of the Peruvian sea. SPF-2026 Book of Abstracts: 2026 Small Pelagic Fish International Symposium. View publication
  • 📄 Quispe-Salazar, E. (2025). Interannual variability in the growth of the Northern-Central stock of Peruvian anchovy (Engraulis ringens) during the period 1960–2022. Cybertesis Revistas UNMSM Fondo editorial. View publication
  • 📄 Quispe-Salazar, E., Sánchez, J., & Perea, Á. (2025). Classification models based on the gonadosomatic index to determine gonadal maturity stages: a case study in the Peruvian anchovy Engraulis ringens. Scientia Marina. View publication
  • 📄 Quispe-Salazar, E. (2024). Suitability of the gonadosomatic index in Peruvian Anchoveta (Engraulis ringens): Sexual maturity, a 5% critical threshold, and seasonal variation. VI Simpósio Ibero-Americano de Ecologia Reprodutiva, Recrutamento e Pesca. View publication

View the complete publication record

Current research pipeline

Status legend: 🔓 manuscript in preparation · 🔒 submitted or under review · 💻 planned study. This block is controlled through assets/data/research-pipeline.json, so working projects can be updated without modifying the automation code.

  • 🔓 Quispe-Salazar, E. (Manuscript in preparation). Critical points of natural and anthropogenic pressures and responses in the state of the north–central anchovy stock in the pelagic system of the Peruvian sea. Manuscript in preparation. View poster
  • 🔓 Quispe-Salazar, E. (Manuscript in preparation). Multivariate Health Index of the anchovy: Understanding the dynamics of small pelagic fish under environmental variability. Manuscript in preparation. View conference presentation
  • 💻 Quispe-Salazar, E. (Planned study). Operational patterns, fishing effort and catch composition of the purse-seine tuna fishery off Peru, 2010–2025. Planned research article. View research projects

How this profile is automated

A scheduled GitHub Actions workflow maintains the profile each day and can also be executed manually:

  1. Publications: ORCID provides the canonical list of scholarly works; DOI records are enriched through Crossref and rendered in APA style with my name highlighted in bold.
  2. Research pipeline: planned, in-preparation and under-review manuscripts are read from assets/data/research-pipeline.json, keeping unpublished work under manual control.
  3. Featured projects: the selected repositories are defined in assets/data/featured-projects.json; GitHub supplies their current visibility and primary language.
  4. Profile metrics: the GitHub API recalculates repository statistics and language composition, then regenerates the two SVG cards stored in this repository.
  5. Synchronization: the canonical publication JSON is used by my academic website, reducing duplicated manual updates between GitHub and the website.

Scientific computing

R Python C++ Julia TMB Stan Git GitHub Actions Quarto

Collaboration and opportunities

I am open to international research collaboration, doctoral and postdoctoral opportunities, research-software projects, and quantitative work related to marine ecology, fisheries assessment and ecosystem-based management.

Contact: qselmers@gmail.com · qselmer.github.io/contact


Update academic profile workflow
Automated daily with GitHub Actions using ORCID, Crossref and GitHub metadata, with manually curated controls for the research pipeline and featured projects.

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