Research
Read how they describe their research on their University of British Columbia profile.
Latest funding
- $75,000
Turning an enemy into an ally: Privacy In Machine Learning (Pri-ML)
NSERC · 2022 · Principal investigator
- $12,500
Turning an enemy into an ally: Privacy In Machine Learning (Pri-ML)
NSERC · 2022 · Principal investigator
- $16,830
Data driven approaches to predict maternal and child/youth mental health
CIHR · 2017 · Co-investigator
No publications available.
Turning an enemy into an ally: Privacy In Machine Learning (Pri-ML)
Principal investigators: Park, Mi Jung
Keywords: differential privacy; machine learning; synthetic data generation; accountability; variational inference; manifold; interpretable machine learning; bayesian statistics; kernel methods; causal inference
Turning an enemy into an ally: Privacy In Machine Learning (Pri-ML)
Principal investigators: Park, Mi Jung
Data driven approaches to predict maternal and child/youth mental health
Principal investigators: Oberlander, Timothy F
Keywords: Artificial Intelligence; Child Mental Health; Machine Learning; Reproductive Mental Health
A scoping review to identify the impact of different legal approaches on opioid-related harms and mortality
Principal investigators: Buxton, Jane; Henry, Bonnie J
Keywords: Legal Approaches; Opioid Crisis
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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Profile data last refreshed on September 27, 2026 from the university directory, publication records and CIHR, NSERC and SSHRC funding.