Agronomy Professor and Principal Investigator. Leads research on digital ag, crop modeling, and remote sensing. Co-director of IDAAS at Purdue.

ML engineer bridging computer science and agronomy. Focused on computer vision, 3D reconstruction, data analysis and precision ag.

Biosystems Engineer researching digital agronomy. Works with sensors, web/mobile apps, computer vision, and AI for ag.

Agronomist developing decision support models for precision nitrogen management in corn. Integrates crop physiology, sensing technologies, and statistics to improve productivity while reducing environmental impact.

Agronomist researching sustainable corn-soybean systems, using digital tools to assess how crop rotation, cover crops, and nitrogen management impact soil health, environmental resilience, and overall farm productivity and profitability.

Focuses on crop modeling and data analysis. Background in agronomy with research on yield gaps, nutrient dynamics, and malting barley quality.

Focuses on applied statistics for agriculture-related problems, with emphasis on nitrogen management and corn physiology. Background in the role of legume crops in soil nitrogen budgets within agricultural systems.

Works at the intersection of agronomy, data science, and economics. Focuses on crop modeling, big data, and decision tools to improve sustainability, profitability, and risk management in agriculture.

Combining expertise in agronomy, remote sensing & geographic information systems, and economics. Current research efforts are directed toward the sustainable intensification of agricultural systems and digital agriculture.

Field Coordinator at Ciampitti Lab. Oversees field operations, manages trial logistics, and ensures data collection quality across research sites.

Lab Coordinator at Ciampitti Lab. Supports lab operations, chemical analysis, and data workflows, contributing to research and team coordination since 2022.