The AgAID Institute is a multi-disciplinary, collaborative effort involving faculty and scientists with expertise in a diverse range of areas in computer science, agriculture, and agricultural outreach.
The Institute members include Washington State University; Oregon State University; University of California, Merced; University of Virginia; Carnegie Mellon University; Heritage University; Wenatchee Valley College; and Kansas State University. Private sector partners include IBM Research and the start-up innov8.ag.

All Team Members
Co-PI
External Evaluator
Scientists & Staff
Farm Operations Intelligence
Labor Intelligence
Water Allocation Intelligence
Artificial Intelligence
Education & Extension
Broadening Participation
Technology Adoption & Transfer
Ethics
Affiliate Faculty

Abhijin Adiga
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence
https://agaid.org/water-ai

Achla Marathe
Biocomplexity Institute, University of Virginia
Water Allocation Intelligence
https://agaid.org/water-ai

Alan Fern
AgAID Co-PI & Associate Director (AI), Computer Science, Oregon State University
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
AI: Interactive Human-AI Workflows
https://agaid.org/ai


Ananth Kalyanaraman
AgAID Lead PI & Institute Director, Computer Science, Washington State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Education & Outreach

Anil Vullikanti
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai

Bala Krishnamoorthy
VP AI & Optimization at Cognetry Labs Inc, Math Professor at WSU
Farm Operations Intelligence
Cold Hardiness Topological Data Analysis

Bernardita Sallato-Carmona
Extension, Washington State University
Ag Extension & Workforce Development

Chad Kruger
CSANR/Wenatchee TFREC, Washington State University
Ag Extension & Workforce Development


Cindy Grimm
Mechanical Engineering, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel

Claudio Stöckle
Biological Systems Engineering (Emeritus Faculty), Washington State University
Farm Intelligence
https://agaid.org/farm-intel


Jake Schrader
Smart Farm Engineering Technician, Washington State University
Farm Operations Intelligence
Demo Farm Technician

Jana Doppa
Computer Science, Washington State University
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai

Jennifer Adam
Civil & Environmental Engineering, Washington State University
Water Allocation Intelligence
https://agaid.org/water-ai

Jennifer Troquille
Research Administrator and Fiscal Analyst 3, Washington State University

Jessica Black
Indigenous Health, Culture & the Environment, Heritage University
Ag Extension & Workforce Development

Jian-Qiao Sun
Engineering, University of California Merced
Labor Intelligence
https://agaid.org/labor-intel

Joe Davidson
Mechanical Engineering, Oregon State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https:agaid.org/ai

John Abatzoglou
Management Complex Systems, University of California Merced
Water Allocation Intelligence
https://agaid.org/water-ai

Jonathan Yoder
Economics, Washington State University
Water Allocation Intelligence
https://agaid.org/water-ai


Josh Viers
AgAID Co-PI, Environmental Systems, University of California Merced
Water Allocation Intelligence
https://agaid.org/water-ai
Broadening Participation

Joshua Goldstein
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai

Josué MedellÍn-Azuara
Environmental Systems, University of California Merced
Water Allocation Intelligence
Broadening Participation

Kirti Rajagopalan
Biological Systems Engineering, Washington State University
Water Allocation Intelligence
AI: Modeling Systems of Knowns and Unknowns
https://agaid.org/ai

Lav Khot
AgAID Co-PI, Biological Systems Engineering, Washington State University
Farm Operations Intelligence
https://agaid.org/farm-intel
Ag Extension & Workforce Development

Lee Kalcsits
Horticulture, Washington State University
Farm Operations Intelligence
https://agaid.org/farm-intel

Leigh Bernacchi
CITRIS-Merced, University of California Merced
Broadening Participation
Ag Extension & Workforce Development

Madhav Marathe
Biocomplexity Institute, University of Virginia
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence
https://agaid.org/water-ai

Manoj Karkee
Biological Systems Engineering/CPAAS, Washington State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https://agaid.org/ai

Margaret Burnett
AgAID Co-PI, Computer Science, Oregon State University
Labor Intelligence
https://agaid.org/labor-intel
AI: Interactive Human-AI Workflows
https://agaid.org/ai

Markus Keller
Viticulture, Washington State University
Farm Intelligence
https://agaid.org/farm-intel



Mingliang Liu
Research Associate in Environmental Engineering, Washington State University


Paola Pesántez-Cabrera
Research Associate in Data Science, Washington State University
Farm Operations Intelligence
Frost Mitigation, Plant Water Stress

Prasad Tadepalli
Computer Science, Oregon State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
Education & Outreach
Farm Intelligence
https://agaid.org/farm-intel

Qin Zhang
AgAID Associate Director (AG), Biological Systems Engineering/CPAAS, Washington State University
Labor Intelligence
https://agaid.org/labor-intel

Raviv Raich
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai

Rebecca Hutchinson
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai

Reza Ehsani
Mechanical Engineering, University of California Merced
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel

Sai Ramaswamy
Engineering Technology, Wenatchee Valley College
Broadening Participation
Education & Outreach

Samarth Swarup
Biocomplexity Institute, University of Virginia
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai
Water Allocation Intelligence

Sandhya Saisubramanian
Computer Science, Oregon State University
Labor Intelligence
Intelligent and Reliable Autonomous Systems (IRAS)

Sekharipuram S. Ravi
Biocomplexity Institute, University of Virginia
AI: Modeling systems of Knowns & Unknowns
https://agaid.org/ai

Siddharth Chaudhary
Research Scientist, NASA-IMPACT - University of Alabama in Huntsville
Water Intelligence
Geospatial Data/Remote sensing

Sindhu Sankaran
Biological Systems Engineering, Washington State University
Education & Outreach

Sinisa Todorovic
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel

Sonia Hall
Research Associate in Sustainable Agriculture, CSANR, Washington State University

Stefan Lee
Computer Science, Oregon State University
AI: Interactive Human-AI Workflows
https://agaid.org/ai
Labor Intelligence
https://agaid.org/labor-intel


Troy Peters
Biological Systems Engineering, Washington State University
Farm Intelligence
https://agaid.org/farm-intel
Ag Extension & Workforce Development

Weng-Keen Wong
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Education & Outreach

Wenzhen Yuan
Robotics Institute, Carnegie Mellon University
Labor Intelligence
https://agaid.org/labor-intel

Xiaoli Fern
Computer Science, Oregon State University
AI: Multi-scale Decision Support
https://agaid.org/ai
Education & Outreach


Yan Yan
Computer Science, Washington State University
AI: Modeling Systems of Knowns & Unknowns
https://agaid.org/ai
AI: Multi-scale Decision Support
https://agaid.org/ai


Campbell Watson
Senior Research Scientist—IBM Research
Water Allocation Intelligence
Self-supervised learning with geospatial climate data

Hendrik Hamann
Chief Scientist for Geoinformatics and IBM PAIRS Geoscope
Technology Adoption & Transfer

Marina Rakhlin
Strategic Partnerships Program Director for the Future of Climate - IBM
Technology Adoption & Transfer