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Carson addresses a global health crisis caused by people not moving enough, spending too much time sedentary on screens and sleeping poorly. These unhealthy behaviors drive chronic diseases and cost healthcare systems billions, with certain groups facing greater challenges. Her urgent, world-leading research focuses on equitably promoting healthy movement in children under five as a cost-effective path to lifelong health. Over the next seven years, her program will develop and expand parent-focused programs, study the health impacts of new screen technology and use advanced methods to find the optimal mix of movement behaviors. Her work will produce new knowledge to inform policy, guide health promotion efforts and update 24-Hour Movement Guidelines to include new evidence on screen use.

Davison is tackling the major global crisis of Chronic Kidney Disease (CKD) and Kidney Failure (KF), which affects nearly a billion people and leads to intense suffering from debilitating symptoms like fatigue, pain and itchiness — the primary driver of poor quality of life. Her research aims to fill this knowledge gap since current treatments like dialysis do not fix the unknown causes of these symptoms. Over the next few years, she will define specific symptom patterns, identify specific biological indicators, or markers, that predict them and use machine learning to better understand the underlying causes for these symptoms that will help to create personalized, targeted treatments. This patient-centered program promises to transform care, address top patient concerns and prevent needless suffering for those living with CKD and KF.

Jing’s research focuses on developing the theories and solutions for Large Intelligent Surfaces (LIS). With this critical Beyond-5G technology, thousands of small electromagnetic units create a programmable, innovative wireless environment on walls and infrastructure. To fully unlock the LIS's potential for universal service and extreme performance, her program will pursue two goals: building models to find practical solutions for core wireless challenges (like beamforming and interference management) and developing a new mathematical theory to manage the massive spatial complexity. The outcome will provide the fundamental engineering and mathematical foundation needed to advance future wireless systems, strengthening the ÒÁÈËÖ±²¥'s leading role in shaping this technological future.

Despite having high healthcare spending, Alberta's maternal and child health outcomes are poor, worsened by a sharp rise in Gestational Diabetes (GDM), which threatens both mother (increased risk of long-term diabetes, heart disease and cancer) and child (higher risk of obesity and diabetes). Kaul's research program addresses these gaps, focusing on women's unique cardio-metabolic health challenges, including the systematic inequalities women face in heart disease care. Her three projects will examine alternative GDM treatments, the link between diabetes/GDM history and cancer and the use of AI in ECGs for early heart failure detection in women, ultimately aiming to advance health equity and improve outcomes across the lifespan.

Komarova's research is focused on improving the diagnosis and treatment of widespread bone disorders like arthritis and osteoporosis by understanding the complex ways bone functions are interconnected. She is a leader in using computational models, or digital twins, to represent biological systems. Her program will combine real-world experimental data with these validated digital twins and Artificial Intelligence (AI) to create personalized patient tools. Specifically, her work aims to develop an AI-driven platform for personalized osteoporosis risk management, build an AI-assisted digital twin to guide targeted drug delivery in arthritis and create a platform to analyze rare bone disorders, ultimately leading to early diagnosis, personalized treatment and better quality of life for millions of individuals worldwide.

LeBlanc’s Atomic Quantum Science and Technology research focuses on harnessing the controllable interaction between light and ultracold atoms to advance fundamental knowledge and emerging technology. Her program has three pillars: developing quantum memory and communication systems by preserving entanglement for secure networks; creating quantum simulations to understand large-scale entanglement and the role of geometry in quantum matter; and engineering highly sensitive atomic quantum sensors for use in positioning, health and communication applications. This work is essential for building a deeper understanding of the quantum world while supplying the innovation pipeline for the rapidly growing quantum industry.

Yañez is studying the universe's most mysterious particles, neutrinos, which are crucial for understanding the fundamental laws of physics but are incredibly hard to detect. His research involves using large-scale neutrino telescopes to observe these faint, high-energy particles. Over five years, he will develop better atmospheric production models, make groundbreaking measurements of neutrino oscillations using the IceCube Observatory and help build the new Pacific Ocean Neutrino Experiment (P-ONE) off Canada's coast. By integrating innovative technology, like machine learning, this work will significantly enhance neutrino telescopes. It could ultimately reveal the limitations of the current Standard Model of particle physics, opening the door to new discoveries.

Zhao's research tackles the critical threat posed by increasing Canadian wildfires, whose complex smoke composition is poorly understood but severely impacts air quality and public health. His program will fill knowledge gaps by pursuing three goals: determining the precise emissions of pollutants from Canadian fuels in a fire lab, developing new methods to analyze the smoke's complex chemistry and investigating the adverse health impacts on vulnerable groups and classroom air quality through multidisciplinary collaboration and the use of micro air quality sensors. Combining fire science, advanced chemistry and health studies, this comprehensive approach will yield vital data for policymakers and public health officials, leading to better wildfire impact prediction and improved strategies for mitigating health risks.