People

Our Team.

Meet the researchers, scientists, and students working together to advance digital agriculture and crop management systems at the Ciampitti Lab.

Faculty Advisor

Ignacio Ciampitti

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

PhD. Student

Gustavo Santiago

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

PhD. Student

Leonardo Bosche

Agronomist focused on precision nitrogen management in corn through crop physiology, sensing technologies, and data-driven approaches.

PhD. Student

Natalia Volpato

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.

PhD. Student

Pedro Cisdeli

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

Postdoc

Federico Gomez

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

Postdoc

German Mandrini

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.

Postdoc

Priscila Cano

Agronomist researching cropping systems and farmer decision-making, integrating remote sensing and digital agriculture to evaluate how technological innovation and environmental variability influence agricultural sustainability and productivity.

Visiting Scholar

Franco Muriñigo

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

Visiting Scholar

Ivan Ramirez

Data Science student at Universidad del Norte (Barranquilla, Colombia). Focused on leveraging data analysis and processing tools using Python for knowledge extraction. Passionate about using data-driven solutions to solve real-world problems and improve people's quality of life through the advancement of digital agriculture.

Visiting Scholar

Jorge Jola

Undergraduate student in Agronomic Engineering at the National University of Colombia, with experience in agronomic data analysis. Skilled in statistics, Web applications, and the application of machine learning in agriculture.

Visiting Scholar

Juan Fiore

Agronomist graduated from the National University of Córdoba. Focused on digital agriculture with experience in Python and programming for agricultural applications. Areas of contribution include data management, digital tools, and the integration of technology into agricultural systems.

Visiting Scholar

Norman Menocal

I am an agronomist interested in sustainable agriculture and the use of new technologies to improve the yield of agronomic crops. I have hands-on experience in fields crops, data collection, harvesting and pesticides applications, gained through academic projects and internship.

Visiting Scholar

Roberto Romero

Passionate about agriculture, innovation, and exploration. Always eager to learn and take on new challenges in agronomy and agricultural advancement. Supports field operations through crop monitoring, data collection, and hands-on agricultural practices across research sites.

Visiting Scholar

Thatiane Pereira

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

Visiting Scholar

Vlasis Mangidis

Data Scientist with a background in Agricultural Engineering and precision agriculture. Focuses on geospatial analytics and remote sensing using multispectral imagery. Experienced in Python, GIS, and database optimization to develop digital tools for vegetation analysis and decision support in agriculture.