Human signals
Research
Machine learning in the space between signals and systems.
Language, speech, and clinical data become useful only when models are evaluated in the settings where people actually use them.
Themes
Four overlapping research directions
Clinical systems
AI in health
Machine learning that respects deployment, workflow, evidence, safety, and the people who live with the outcomes.Governance + evaluation
Responsible AI
Model behaviour, interpretability, fairness, privacy, standards, and public accountability.Place + network
Atlantic capacity
Building useful AI capacity from Halifax outward: students, collaborators, public institutions, and industry.Questions
Research questions worth making visible
Selected support
Recent grants and active work
Representation Immunization on Trainium: Scalable Noising & Weight-Locking
Responsible AI Amazon Research Award (ARA) · $257,710 (USD)
A Unified Framework for the Safety, Interpretability, and Ethical Deployment of LLMs
NSERC Discovery · $345,000
Early identification of risk for major depressive disorder from parent and youth speech
CIHR Project · $1,009,800 · Co-applicant; Rudolf Uher: NPI
Research Grant
Center for AI Safety · $5750 (USD)
Partnership for Artificial Intelligence and Quality of Working Lives and Worker Well-Being (PAIQ)
SSHRC Partnership Grant - Stage 2 · $2,499,192 · Co-applicant; Arif Jetha: NPI
Building Resilience in Smart Agriculture: Cybersecure, Reliable, and Equitable (SECURE-AGRO)
NSERC CREATE · $1,650,000 · Co-Applicant; Ali Dehghantanha:NPI