- 🎓 University Teaching (PUC): Lecturer of the undergraduate course Statistical Applications (Aplicaciones Estadísticas) at the Pontificia Universidad Católica de Chile, training students in statistical inference, experimental design, linear models, and applied data analysis in R.
- 🌾 PhD Research & Multi-Omics: PhD Candidate in Plant Biotechnology (PUC), focused on abiotic stress tolerance (heat and drought) in crops through the integration of Ionomics (
$K^+/Na^+$ , micronutrients), Transcriptomics (RNA-seq /DESeq2/WGCNA), and Metabolomics (antioxidant profiling, compatible solutes, proline, MDA). - 🦠 Agricultural Microbiology & Biocontrol: Quantitative modeling of plant-beneficial microbe interactions: antagonistic dynamics of Trichoderma spp. (mycoparasitism, volatile organic compounds VOCs, dual-culture inhibition), Plant Growth-Promoting Rhizobacteria (PGPR: Bacillus, Pseudomonas), dual inoculation/consortia, biomineral solubilization (
$P$ ,$K$ , siderophores), and microbe-mediated abiotic stress mitigation. - 🎲 Bayesian Statistics & MCMC Inference: Advanced Bayesian hierarchical modeling with
brmsandStan, calibration of informative and regularizing priors, MCMC convergence diagnostics ($\hat{R}$ , ESS, trace plots), leave-one-out cross-validation (LOO-CV / WAIC), and Posterior Predictive Checks. - 🕸️ Structural Equation Modeling (Piecewise SEM): Disentangling direct and indirect effects in multilayer physiological networks, integrating hierarchical mixed submodels and directional separation (d-sep) tests.
- 💻 Scientific Software Development: Creator and author of the R packages
agriDesignR(v0.2.1, assisted experimental design engine, 2D micro-layouts, and hierarchical mixed models) andeasyModels(v0.4.2, automated and reproducible biostatistics), designed to translate cutting-edge methodological workflows to the university classroom and high-impact scientific research.
| Domain | Technologies & Libraries |
|---|---|
| Languages |     |
| Bayesian Statistics & Modeling |   piecewiseSEMlme4glmmTMBmgcv (GAMs)brmsbayesplottidybayesdrcemmeansDHARMa |
| Experimental Design |  agricolaeemmeansdesplotAlpha-LatticeSplit-PlotRCBDPower Analysis |
| Multi-Omics & Bioinformatics | DESeq2mixOmics (sPLS-DA)WGCNABioconductortidyverseggplot2pheatmapComplexHeatmap |
| Microbiome & Biocontrol | Dose-Response (drc)Dual-Culture KineticsPhytoMicrobiome StatsBioassays Phenotyping |
| Publishing & Reproducibility |     |
| Environments, IDEs & AI Agents |       |
| DevOps & Systems |      |
 🌱 agriDesignR (v0.2.1) — Assisted Experimental Design Engine & Mixed ModelsIntelligent decision engine for agricultural and biological sciences. Connects the complete workflow: Pre-Trial Planning (greenhouse/field gradient diagnostics, replication calculator, 2D bench layouts, and sowing CSV templates), Multi-Engine Mixed Modeling (Kenward-Roger LMM, GLMM, non-parametric tests), Automated Diagnostic Remediation (Box-Cox, varIdent, Gamma/NB GLMM), Relative Blocking Efficiency (Cochran & Cox), Simple Effects in 2- & 3-Way Factorials, Publication-Ready Figures (Nature style), and an Interactive Web App (
| |
 📦 easyModels (v0.4.2)R package for applied and reproducible biostatistics. Features a unified S3 architecture ( | 🦠 Plant-Microbiome-BiocontrolPlatform for quantitative modeling and experimental analysis of plant-microbe interactions: Trichoderma antagonistic kinetics, plant growth-promoting rhizobacteria (PGPR: Bacillus, Pseudomonas), dual consortia, mineral solubilization ( |
📊 BioAgro-StatsStructured 8-module repository for advanced biostatistics: from assumption auditing, experimental designs, and non-linear dose-response curves (log-logistic DRC) to Bayesian modeling with | 🌾 Triticum Tale WebScientific web portal and interactive Data Storytelling platform built with Quarto/Plotly to visually communicate multi-omics and physiological stress responses in Triticum durum under heat and drought stress. |
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| Repository | Specialty & Focus | Direct Link |
|---|---|---|
| 🌱 agriDesignR | Assisted Experimental Design Engine, Mixed Models & Shiny GUI | View Repository ↗ |
| 📦 easyModels | R package for automated biostatistics and mixed models | View Repository ↗ |
| 🦠 Plant-Microbiome-Biocontrol | Trichoderma, PGPR, endophytes, biocontrol & abiotic stress mitigation | View Repository ↗ |
| 📊 BioAgro-Stats | Statistical modules for agronomy, DRC, GAMs & Machine Learning | View Repository ↗ |
| 🌾 Triticum-tale-web | Interactive Quarto/Plotly platform for crop stress responses | View Repository ↗ |
| 📐 Experimental-Design-Lab | RCBD, Split-Plot, Latin Squares, Alpha-Lattice & Power Analysis | View Repository ↗ |
| 📈 Statistical-Modeling-Mastery | Progressive modeling roadmap: from LM/GLM to DRC, GAMs & Bayesian | View Repository ↗ |
| 🌾 Plant-MultiOmics-Framework | Ionomics, RNA-seq Transcriptomics, Metabolomics & sPLS-DA | View Repository ↗ |
| 🎲 Bayesian-Biostats | Bayesian Modeling with brms/Stan, MCMC & Piecewise SEM | View Repository ↗ |
