• Building a cross-crop digital breeder's eye that connects modern vision AI with user-friendly Next.js applications to make real-world phenotyping smarter, scalable, and accessible across crop diseases and other breeding targets.
• In 2025, before the release of SAM 3, developed generalized plant-part labeling methods applicable across crops and imaging contexts.
• Developed agentic, reasoning-based workflows that automate labeling at scale.
• Created sample-efficient labeling methods that work from only a few examples, including as few as three.
• Built a generalized, automated framework for training state-of-the-art classification models on arbitrary classes. A single reusable trainer and modeling strategy consistently outperformed published task-specific approaches across evaluated tasks, avoiding months of custom model development.
• Built crop-agnostic modules for scalable geometry and color measurement from harvested, detached, or flattened plant material using simple mobile-phone images, removing the need for field studios or highly controlled imaging environments.
• Developed robust methods to align database field maps with drone-derived orthomosaics, isolate individual field plots, and extract plot-level measurements.
• Consolidated this research into a scalable platform with a Next.js front end, PostgreSQL back end, and role-based access control that supports collaboration across teams. The platform is already used at scale in two crops and is being tested in more than five others.
• Developing a user-friendly platform for research field-operations management and communication to improve resource planning, allocation, and monitoring; currently in testing, with rollout planned by the end of 2026.
• Leading the consolidation of cross-functional information into a strategic breeding-pipeline and research-assessment platform with integrated views across major internal departments and connections to the data lake now under development; rollout planned by the end of 2026.
• Hosted and mentored three interns and directly supervised two team members.

• Led the structured development of new traits, technologies, and analytical tools for sweet and waxy corn breeding in collaboration with internal and external partners.
• Developed - and continue to maintain - modular R Shiny and ShinyProxy solutions supporting multiple types of statistical-genetics analyses across crops and functions.
• Helped lead and steer global standardization of phenotyping protocols across the corn breeding program.
• Developed discovery populations for more than five traits and delivered new or improved trait-linked markers for two traits.
• Initiated long-term, landrace-based pre-breeding populations separate from elite germplasm, combining accessions from more than 70 countries to provide an enduring genetic resource for the corn breeding program.

I was single handedly responsible for the development of:

• Early stage breeding programs for various OP crops for Asian export markers.
• MET approaches for assessing new products from international collaborators in India.
• Semi-automated workflows for farm management/monitoring and office accounting
• Internal SOPs around all aspects of the logistics of seed export/import
• Migration of the company to Google workspace
• An R shiny dashboard as a market research tool with Indian import and export data for any given HSN
• Initial efforts in assessing the potential for currency exchange modelling together with EEFC banking to improve returns for the company.

• Project aimed at dissecting the genetic control of autumn dormancy in autotetraploid alfalfa Medicago sativa using selection mapping and genome-wide association mapping approaches using low-coverage sequencing (Dissertation Link).

• Responsibilities included: Database building and management, programming to improve efficiency of inventory and phenotyping operations, operating field equipment, experimental design, data collection and analysis, agronomic field-work, and leading field crews.

• Project aimed at genome wide association analysis of maize phenotypes in highland and lowland environments. Responsibilities included: data collection (phenotyping), statistical analysis using R, and maintaining plants in the growth chamber.

• Project aimed at analyzing crossing relationships in tomato species. Responsibilities included: pollination, floral harvest, and scoring pollen tubes in styles using fluorescence microscopy.

• Trained in cultivation, management, and breeding techniques for various vegetable crops at three research stations in different parts of Thailand.

• Project aimed at understanding the molecular pathways underlying aroma compound synthesis in cantaloupes. Responsibilities included: Tissue culture, DNA & RNA isolation, maintaining plants in the greenhouse, pollinating flowers, and harvesting fruit.

• Ornamental plant breeding program (Thuja species). Responsibilities included: Flow cytometry, laboratory and greenhouse management.

• Hazelnut breeding program. Responsibilities included: transplanting operations, and setting up drip irrigation systems.

• Henry A. Jastro Research Award
• Horticulture & Agronomy Graduate Fellowship (Spring 2015)
• Horticulture & Agronomy Graduate Fellowship (Fall 2014)

• Departmental Citation for outstanding undergraduate performance
• Ming Hop Lee Memorial Scholarship
• Inducted to Phi Sigma biological sciences honors society
• Dean's Honor Roll list every quarter at Oregon State (5 quarters)
• Drucilla Shepard Smith Scholastic Award (Oregon State)
• Loren. J Smith Agricultural Honors Scholarship (Oregon State)
• Ursula Bolt Knaus Scholarship, Dec 2010 (Oregon State)