Completed & Discontinued Projects
Aug 9, 2025
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3 min read
Overview
I archive finished and discontinued initiatives so that collaborators can trace what was delivered, why it mattered, and where to find follow-up material (papers, packages, dashboards). Everything below is frozen: no active development, only reproducible notebooks, Docker images, or publications to consult.
Quick snapshot
| Year | Project | Focus | Status |
|---|---|---|---|
| 2025 | Multilevel sports-analytics framework | Mixed-effects NBA dashboards (Oliveira–Newell score) | Archived after multi-season deployment |
| 2024 | Drivers of genetic change | Partition genetic mean/variance in breeding programmes | Completed |
| 2023 | Insects-as-feed, ON score validation, markerless vs marker-based motion capture | Applied analytics & publications | Completed |
| 2022 | AlphaPart variance workflows, Reads2Map tooling | Package/pipeline releases | Completed |
| 2021 | LCC methods, predictive models, selection/diversity management | Research projects & manuscripts | Completed |
| 2020 | lcc package release, Xylella transmission studies | Publications | Completed |
| 2019 | Soil/colour analytics, sugarcane bioenergy | Publications | Completed |
Highlights
- Benchmarked GBS pipelines (Reads2Map) and released tooling + Docker images for linkage-map studies.
- Built sustainability indexes (GHG, methane efficiency) that link emissions targets with breeding goals.
- Led analytics for sports and public-health applications, from NBA performance metrics to COVID-19 forecasting.
- Archived the multilevel sports-analytics framework (Oliveira–Newell score) after deploying it across seasons and teams.
Timeline (most recent first)
2025 — Development and application of statistical frameworks in sports analytics (archived)
- Focus: Mixed-effects + PCA workflow (Oliveira–Newell score) for NBA seasons 2015–2019.
- Deliverables: Season/game dashboards, validation notebooks, reproducible scripts now frozen for reference.
- Notes: Superseded by newer sports-analytics engagements; code referenced in the Pipelines section.
2024 — Quantifying the drivers of genetic change in plant breeding
- Focus: Partition changes in genetic mean and variance to isolate breeding decisions that accelerate or hinder genetic gain.
- Outputs: Scenario analyses, management recommendations, and supporting scripts.
2023
- Developing high-performance black soldier fly breeds for the insects-as-feed sector: breeding dashboards + decision tools.
- Hierarchical approach for evaluating athlete performance: ON score paper, reproducible validation of athlete contributions.
- Markerless vs marker-based systems: agreement framework using functional limits and mixed models.
2022
- AlphaPart – Partition of Breeding Values by Paths of Information: package and workflows to quantify breeding contributions.
- Genomic strategies for optimal crossbreeding in African dairy cattle: simulation and decision-support artefacts.
2021
- Use of biostatistics for optimising athlete performance: athlete-specific readiness and health analytics.
- Predictive models to forecast historical data-driven outcomes: COVID-19 global forecasting, menstrual-cycle modelling.
- Optimising selection and management of diversity in plant breeding: temporal/genomic analysis of additive genetic variance.
2020
- The lcc Package: longitudinal concordance correlation software + publications.
- Transmission efficiency of Xylella fastidiosa: vector-behaviour studies and manuscripts.
2019
- Sugarcane straw management for bioenergy: climate and soil-carbon analyses.
- Measuring colour using image analysis: image-analysis methodology for horticulture.
References & resources
Key publications: Lara et al. (2021) Heredity; Taniguti et al. (2023) GigaScience; Oliveira et al. (2023) GSE; multiple Sports Analytics manuscripts. Package repositories and pipelines are linked across the R Packages and Pipelines sections.