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ARS SCINet and AI Center of Excellence Postdoctoral Fellowships Program - FY2022 Awards

The ARS SCINet and AI Center of Excellence (AI-COE) funded 19 postdoctoral fellowship proposals in FY2022. The program was again very competitive, with many more proposals submitted than we could support. Information about the funded projects is provided below.

Funded proposals
Title Mentor Co-mentor(s)
Developing tools for the real-time monitoring and query of all the world's publicly available sequence data. Adam Rivers
Determining the structure and function of proteins of foodborne and plant pathogens using Alphafold2 and top-down proteomic analysis Clifton K. Fagerquist
AI-driven phenotype extraction from UAS imagery for crop genetics and breeding Jacob Washburn Alisa Coffin, Max Feldman
Machine learning approaches to gain structural and functional insights of genes regulating climate adaptability Carson Andorf Taner Sen
Inferring Protein Function for Enhanced Breeding using Machine Learning and Protein Structure Prediction Taner Sen Carson Andorf
A MATLAB toolbox for dynamic prediction of meteorological drought across Southern Great Plains Daniel Moriasi Ali Mirchi
Optimization of AI-based microscope image analysis with the Blackbird imaging robot Lance Cadle-Davidson Yu Jiang
Automated Detection of Insect Species in Food and Processing Environments using Artificial Intelligence Paul R Armstrong Lester Pordesimo
Improving the accuracy and scope of machine learning tools for camera trap-based ecological data analysis across US grazinglands Hailey Wilmer
A broadly deployable deep learning workflow for image feature identification, segmentation, and data extraction. Devin A Rippner Jeff Neyhart , Kayla Altendorf, Garett Heineck, Andrew McElrone
An AI approach for discovering novel blast disease resistance sources in rice. Jeremy Edwards Yulin Jia
Predicting interspecies transmission of influenza A virus from swine to humans with machine learning Tavis Anderson Amy Vincent
Modeling the Spread and Adaptation of Stored-Product Insect Pests in the Face of Climate Change Alison Gerken Rob Morrison
Using AI to Analyze Climate Effects on Crop Performance Xianran Li
AI/ML and Deep Learning to Enhance Understanding of Dietary Patterns that Promote Human Health David Baer Lauren O'Connor
The evolutionary genomics of Macrophomina phaseolina. Peter Montgomery Henry
Spatial multi-criterion optimization of agricultural ecosystem services at the landscape scale Sarah Goslee
Application of machine learning in livestock genomics George Liu
Determining the pervasiveness of hybridization and introgression in agriculture and the driving mechanisms Christopher Owen