Faculty

Aug. 19, 2026

Shelley Curry

Aug. 19, 2026

Elliott Dennis

Chaise Murphy.

Aug. 16, 2026

Chaise Murphy

Educational background…

Kevin Murach.

July 23, 2026

Kevin A. Murach

Nick Meier smiling in CAFNR cap.

June 10, 2026

Nicholas Meier

Educational background…

Tony Funderburg

Jan. 8, 2026

Anthony Funderburg

Educational background Courses taught…

Seth Meyer

Jan. 6, 2026

Seth Meyer

Educational Background…

Jagdeep Sidhu

Jan. 6, 2026

Jagdeep Singh Sidhu

Sidhu grew up on a small farm in Punjab, India, an experience that continues to shape his approach to agricultural research. Motivated by practical challenges faced by farmers, his work integrates fundamental plant biology with applied breeding to improve crop resilience. His training spans crop breeding and genetics, root biology, and in silico modelling. Educational Background…

Meikah Dado

Jan. 6, 2026

Meikah Dado

Meikah Dado, Ph.D., is motivated by her belief that all individuals should have equitable access to food and education. Drawing on a multidisciplinary background in dairy science, international agricultural development, and agricultural leadership, Dado’s professional expertise encompasses monitoring and evaluation, grant writing and management, and a broad range of research initiatives. Her teaching centers on cultivating leadership capacity within the agricultural sector, with an emphasis on developing future leaders equipped with strong critical thinking and problem solving skills. Educational Background…

Marcelo Barbosa

Dec. 18, 2025

Marcelo Barbosa

Marcelo Barbosa’s faculty appointment includes research (60%) and Extension (40%). His program focuses on integrating cutting-edge technologies to advance and support modern agricultural production systems. His work centers on the use of remote sensing, unmanned aerial systems (UAS/drones), robotics, automation, and artificial intelligence to enhance data collection and improve the speed, sustainability, and precision of on-farm decision-making. More specifically, his research includes the development of predictive and forecasting models for crop yield, quality, and plant health; autonomous and semi-autonomous crop management solutions; and decision-support systems that translate complex data into actionable recommendations for growers. He is particularly interested in…