Graduate & Postdoctoral Studies

Spotlight on Faculty

Portrait of Dr. Nicolas Brunet

Nicolas Brunet

I am interested in the diverse knowledge systems and participatory approaches (citizen science, youth engagement, community-based monitoring, Indigenous guardians, etc.) that contribute to community-led environmental decision making in resource-based and remote communities.

Email: nicolas.brunet@uoguelph.ca

Portrait of Dr. Georgia Mason

Georgia Mason

 I and my lab study animal welfare. We're interested in how to create good living conditions for animals kept in labs, zoos and farms; in how scientists can assess well-being objectively; and in what happens to brain and behaviour when animals are raised and kept lifelong in confining, barren enclosures.

Email: gmason@uoguelph.ca

Portrait of Brittany Luby

Brittany Luby

I am particularly interested in the effects of post-war development on Anishinaabe food systems and family well being.​

Email: brittany.luby@uoguelph.ca

Portrait of Dr. Madhur Anand

Madhur Anand

Humans and their environment are coupled systems and we need to study them as such to improve life for all.

Email: manand@uoguelph.ca

Portrait of Dr. Andrew Gadsden

Andrew Gadsden

My research is in the area of mechanical and electrical engineering. It involves the development of intelligent control and estimation strategies with applications to mechatronic systems, robotics, and real-world problems.

Email: gadsden@uoguelph.ca

Headshot of Rebecca Hallett

Rebecca Hallett

I have a diverse range of interests related to herbivorous insects in agroecosystems, including the phytochemicals that influence insect interactions with host plants, factors influencing...

Email: rhallett@uoguelph.ca

Portrait of professor Joshua Nasielski

Joshua Nasielski

How can Ontario farmers make more money, be more environmentally sustainable, and be more resilient to climate extremes?​

University of Guelph Computer Sciences Professor Minglun Gong

Minglun Gong

Dr. Gong’s research interests cover various topics in the broad area of visual computing (including computer graphics, computer vision, visualization, image processing, and pattern recognition).