Estimates predict that globally well over 20% of crop yield is lost to pests and pathogens and this is forecast to increase with climate change. Thus, strategies to enhance plant resistance against disease and insect pests have been identified as one of the major challenges of this decade. Plants have chemical defenses involved in resistance […]

ServiceNow develops a platform for client organizations to manage and automate large-scale processes across various industries. In 2020, ServiceNow acquired Element AI to strengthen its presence in the Artificial Intelligence (AI) research landscape and the Canadian AI ecosystem. This acquisition enabled the developmentof AI-driven products that improve the platform’s capabilities. ServiceNow Research has made significant […]

This project focuses on developing advanced bone graft materials made from calcium silicates, enhanced with magnesium or zinc ions. These materials are designed to help bones heal faster and reduce the risk of infections associated with implants. During the project, I will work closely with Dr. Barrelet’s team at McGill University to test the biological […]

This project aims to improve how doctors learning to perform robotic surgery in gynecology are trained and evaluated. Currently, there is no clear or consistent way to know when a trainee is truly ready to operate on their own. Most training programs rely on the number of surgeries performed or subjective opinions, which are subject […]

This study will consider the extent to which Let’s Talk Science outreach volunteers see themselves, and are seen by others, as science teachers. It will use mixed (quantitative and qualitative) methods to examine science majors’ identities, life histories, their experiences of outreach facilitation with Let’s Talk Science, and their interpretations of these experiences. Most students […]

Heavier, more efficient farm machinery is needed to produce cereals and grains for the growing population. The weight of this heavy machinery reduces the air space between soil particles causing soil compaction. This is particularly damaging on heavier soils that are intensively cultivated without rotations. Soil compaction impedes the flow of water through the soil […]

This project examines how uninsured migrant parents of babies born in Canada, and their supporters, navigate barriers to registering newborns for provincial health cards. “Uninsured migrants” refers to people who are ineligible for public insurance and lack private coverage or have insufficient coverage. Research shows that hospitals may refuse to register newborns when the mother […]

Simulation studies are widely used in pharmaceutical research to evaluate operating characteristics of statistical methods proposed for regulatory analyses. Central to such studies is the ability to compare against a known “truth” implied by assumed the data-generating mechanism. In practice, however, this advantage is often limited than assumed, as the target is not a simple […]

Online hate is increasingly spread through memes, where harmful meaning comes from the combination of images and text, making it harder to detect than text-only abuse. Through a 12-week research visit to the University of Hildesheim, I will develop and evaluate efficient AI models that can better identify hateful memes across multiple datasets while remaining […]

Modern biological research relies heavily on antibodies to detect and measure proteins, from genetics research to diagnostics and drug development. Measuring binding kinetics for antibodies is important for inferring specificity, affinity, and its mechanism of action. Existing kinetics assays are powerful, but they often require large sample volumes and provide only averaged signals, making it […]

This research project investigates the esoteric thoughts of the 12th-century Muslim thinker, Muhammad ibn Abd al-Karim Shahrastani, focusing on how his works shaped the theological identity of the Ismaili Shii tradition. By analyzing Shahrastani’s unique use of symbolic narratives to represent spiritual authority, the study seeks to fill a significant gap in our understanding of […]

This project explores how a mobile field robot integrates semantic perception, task reasoning, and task-aware planning to operate autonomously in unstructured, real-world environments. The work focuses on implementing and evaluating existing perception and task-reasoning components that enable the robot to interpret visual and spatial information, infer task intent, and select feasible actions under uncertainty. Experiments […]