People

The P2IRC involves partnerships with four Canadian universities, three international institutes, and more than 15 private and public organizations, including the National Research Council and Agriculture and Agri-Food Canada.

Research scientists come from a wide range of U of S colleges, the U of S Crop Development Centre in the College of Agriculture and Bioresources, GIFS, the Canadian Light Source, and the Sylvia Fedoruk Canadian Centre for Nuclear Innovation. The Johnson-Shoyama Graduate School of Public Policy is lead partner on policy research.

Theme 1: Phenometrics

Picture of  Andrew Sharpe

Andrew Sharpe Theme Lead, Phenometrics



1.1: Arabidopsis Proof of Concept – Phenotype to Genotype in a Model System

Picture of Isobel Parkin

Isobel Parkin Project Lead, Arabidopsis Proof of Concept – Phenotype to Genotype in a Model System


1.2: Crop Phenometrics Platform – Leveraging Field Phenomics tor Advancing Key Rotational Crops

Picture of Scott Noble

Scott Noble Project Co-Lead, Crop Phenometrics Platform – Leveraging Field Phenomics tor Advancing Key Rotational Crops


Picture of Steve Shirtliffe

Steve Shirtliffe Project Co-Lead, Crop Phenometrics Platform – Leveraging Field Phenomics tor Advancing Key Rotational Crops


1.3: Plant Pedological Phenotype – the Soil Microbiome as a Plant Phenotype

Picture of Bobbi Helgason

Bobbi Helgason Project Co-Lead, Plant Pedological Phenotype – the Soil Microbiome as a Plant Phenotype


Picture of Steven Siciliano

Steven Siciliano Project Co-Lead, Plant Pedological Phenotype – the Soil Microbiome as a Plant Phenotype


Theme 2: Image Acquisition Technologies

Picture of Dean Chapman

Dean Chapman Theme Lead, Image Acquisition Technologies



2.1: Application of Advanced Imaging Technologies to Relate Phenotype to Genotype

Picture of Chithra Karunakaran

Chithra Karunakaran Project Co-Lead, Application of Advanced Imaging Technologies to Relate Phenotype to Genotype


Picture of Chris Phenix

Chris Phenix Project Co-Lead, Application of Advanced Imaging Technologies to Relate Phenotype to Genotype


Picture of Derek Peak

Derek Peak Project Co-Lead, Application of Advanced Imaging Technologies to Relate Phenotype to Genotype


Picture of Ingrid Pickering

Ingrid Pickering Project Co-Lead, Application of Advanced Imaging Technologies to Relate Phenotype to Genotype


Picture of Sue Abrams

Sue Abrams Project Co-Lead, Application of Advanced Imaging Technologies to Relate Phenotype to Genotype


2.2: In Situ Phenotypic Characterization of Plants

Picture of Aryan Saadat Mehr

Aryan Saadat Mehr Project Co-Lead, In Situ Phenotypic Characterization of Plants


Picture of Reza Fotouhi

Reza Fotouhi Project Co-Lead, In Situ Phenotypic Characterization of Plants


2.3: High-Throughput Data Acquisition for 3D Structural Imaging and Characterization of Plant Phenotypes

Picture of Emil Hallin

Emil Hallin Project Co-Lead, High-Throughput Data Acquisition for 3D Structural Imaging and Characterization of Plant Phenotypes


Picture of Jean-Claude Kieffer

Jean-Claude Kieffer Project Co-Lead, High-Throughput Data Acquisition for 3D Structural Imaging and Characterization of Plant Phenotypes


Picture of  Kishor Wasan

Kishor Wasan Project Co-Lead, High-Throughput Data Acquisition for 3D Structural Imaging and Characterization of Plant Phenotypes


Theme 3: Computational Informatics of Crop Phenotype Data

Picture of Carl Gutwin

Carl Gutwin Theme Lead, Computational Informatics of Crop Phenotype Data
Project Co-Lead, Web applications and collaboration



3.1 Cloud platform for genomic-phenomic analysis

Picture of Chanchal Roy

Chanchal Roy Project Lead, Cloud Platform for Genomic-Phenomic Analysis


Picture of Kevin Schneider

Kevin Schneider Project Lead, Cloud Platform for Genomic-Phenomic Analysis


3.2 Digital phenotyping

Picture of Ian Stavness

Ian Stavness Project Co-Lead, Digital Phenotyping


Picture of Kevin Stanley

Kevin Stanley Project Co-Lead, Digital Phenotyping


3.3 Data-driven genomic-phenomic linkages

Picture of Matthew Links

Matthew Links Project Co-Lead, Genotype & Environment to Phenotype (GE2P)


Picture of Michael Horsch

Michael Horsch Project Co-Lead, Genotype & Environment to Phenotype (GE2P)


Picture of Tony Kusalik

Tony Kusalik Project Co-Lead, Genotype & Environment to Phenotype (GE2P)


3.4 Web applications and collaboration

Picture of Carl Gutwin

Carl Gutwin Theme Lead, Computational Informatics of Crop Phenotype Data
Project Co-Lead, Web applications and collaboration


Picture of Ralph Deters

Ralph Deters Project Co-Lead, Web applications and collaboration


3.5 Model-driven genomic-phenomic linkages

Picture of Ian McQuillan

Ian McQuillan Project Co-Lead, Model-driven genomic-phenomic linkages


Picture of Przemyslaw Prusinkiewicz

Przemyslaw Prusinkiewicz Project Co-Lead, Model-driven genomic-phenomic linkages


Theme 4: Societal and Developing World Impact

Picture of Peter Phillips

Peter Phillips Theme Lead: Societal and Developing World Impact
Project Co-Lead, Regulatory oversight of data-rich breeding products
Project Co-Lead, Mapping and modeling the decisions and exchanges in the global breeding system



4.1: Mapping and modeling the decisions and exchanges in the global breeding system

Picture of Peter Phillips

Peter Phillips Theme Lead: Societal and Developing World Impact
Project Co-Lead, Regulatory oversight of data-rich breeding products
Project Co-Lead, Mapping and modeling the decisions and exchanges in the global breeding system


Picture of Stuart Smyth

Stuart Smyth Project Co-Lead, Regulatory oversight of data-rich breeding products
Project Co-Lead, Intellectual Property Challenges and Strategies
Project Co-Lead, Social License
Project Co-Lead, Mapping and modeling the decisions and exchanges in the global breeding system


4.2: Social License

Picture of Jill Hobbs

Jill Hobbs Project Co-Lead, Social License


Picture of Stuart Smyth

Stuart Smyth Project Co-Lead, Regulatory oversight of data-rich breeding products
Project Co-Lead, Intellectual Property Challenges and Strategies
Project Co-Lead, Social License
Project Co-Lead, Mapping and modeling the decisions and exchanges in the global breeding system