Quantitative Genetics and Breeding Analytics
Research and development leader building analytical systems for plant breeding, portfolio decisions, and scalable scientific execution.
R&D leader integrating quantitative genetics, machine learning, and high-performance statistical workflows to accelerate genetic gain while strengthening portfolio decisions, resource allocation, and risk visibility across complex breeding systems.
Current work spans stability analysis, genomic prediction, multivariate modeling, and software platforms that connect science, operations, and business strategy to improve execution quality and long-term product outcomes.
| Package or App | Description | Status |
|---|---|---|
| bWGR | Bayesian whole genome regression and modeling tools | Active |
| mas | Tools for multivariate and multipopulation association studies | Active |
| pegs | Pseudo-expectation Gauss-Seidel light solver | Maintained |
| NAM | Nested association mapping and breeding tools | Maintained |
| SoyNAM | Soybean nested association mapping dataset | Maintained |
| G2F | 2025 genomes-to-field GxE prediction dataset | In progress |
| SGC | USDA soybean germplasm collection and passport data | In progress |
| MET accuracy app | Multi-environment trial accuracy diagnostics in Shiny | Archived |
| Package or App | Description | Status |
|---|---|---|
| RealTime app | Modeling and visualizations for advancement, positioning, product concepts | Active |
| GenTrend app | Computation and visualization of genetic trends and germplasm insights | Active |
| Blueprint 2.0 app | Breeding pipeline blueprints, budgeting, resource monitoring and allocations | Active |
| Station app | Identification of GxE patterns and optimization of trial networks | Active |
| Pathology report app | Disease resistance scores and risk probabilities | Active |
| btsatr | R package for modeling, accessing data, hosting pipelines and apps | Active |
NAPPN 2025
NDSU
ASTA 2023
ASA-CSSA-SSSA 2023
Purdue University
MGC 2023
University of Georgia
SBW
Purdue University
Iowa State University
PAG
UFV
Purdue Phenomic Workshop
Enterprise-scale R&D leader translating scientific strategy into decision-ready development systems for portfolio advancement across geographies, crops, and distributed teams.
Leads breeding analytics and discovery in Latin America and Africa by integrating science, operations, and business priorities to improve flow, quality, and long-term product success.