I joined the group in 2023 for my Master's dissertation and completed a project on identifying genetic variation associated with flowering time in soybean.
Since starting my PhD in 2024, I have been studying disease resistance in legumes using cross-population haplotype studies and computational simulations. I plan to integrate machine learning approaches in my next projects.
| Title | Year | Published by | Link |
|---|---|---|---|
| Pangenomics combined with artificial intelligence and precision breeding can accelerate crop improvement | 2025 | Current Opinion in Plant Biology | DOI |
| Integrating multi-omics and machine learning for disease resistance prediction in legumes | 2025 | Theoretical and Applied Genetics | DOI |
| Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean | 2024 | The Plant Genome | DOI |