Faculty profile
Archer Yang
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Research
Latest papers
Sparse polygenic risk score inference with the spike-and-slab LASSO.
Bioinformatics (Oxford, England) · 2025
Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
NPJ digital medicine · 2025
Latest funding
- $133,551
Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion
NSERC · 2024 · Principal investigator
- $44,000
Active Learning and Individualized Variable Selection
NSERC · 2024 · Principal investigator
- $135,000
Cross-province federated machine learning of electronic health records in Canada
NSERC · 2022 · Co-investigator
2 publications.
Sparse polygenic risk score inference with the spike-and-slab LASSO.
Song J, Zabad S, Yang A, Gravel S, Li Y
Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
Chang CT, Farah H, Gui H, Rezaei SJ, Bou-Khalil C, Park YJ, Swaminathan A, Omiye JA, Kolluri A, Chaurasia A, Lozano A, Heiman A, Jia AS, Kaushal A, Jia A, Iacovelli A, Yang A, Salles A, Singhal A, Narasimhan B, Belai B, Jacobson BH, Li B, Poe CH, Sanghera C, Zheng C, Messer C, Kettud DV, Pandya D, Kaur D, Hla D, Dindoust D, Moehrle D, Ross D, Chou E, Lin E, Haredasht FN, Cheng G, Gao I, Chang J, Silberg J, Fries JA, Xu J, Jamison J, Tamaresis JS, Chen JH, Lazaro J, Banda JM, Lee JJ, Matthys KE, Steffner KR, Tian L, Pegolotti L, Srinivasan M, Manimaran M, Schwede M, Zhang M, Nguyen M, Fathzadeh M, Zhao Q, Bajra R, Khurana R, Azam R, Bartlett R, Truong ST, Fleming SL, Raj S, Behr S, Onyeka S, Muppidi S, Bandali T, Eulalio TY, Chen W, Zhou X, Ding Y, Cui Y, Tan Y, Liu Y, Shah N, Daneshjou R
Empowering Emerging Research in Mathematics and Statistics: Local GPU Infrastructure Expansion
Principal investigators: Yang, Archer Yi
Keywords: Bayesian computation; big data analytics; complex networks; computational geometry; high-dimensional statistics; large--scale optimization; machine learning; mathematical image processing; optimal transportation; partial differential equations
Active Learning and Individualized Variable Selection
Principal investigators: Yang, Archer Yi
Keywords: statistical machine learning; statistical computing; high--dimensional statistics; data integration; transfer learning; generalized estimating equation; fixed-point problem; variational inequality; structural missing; semi-supervised learning
Cross-province federated machine learning of electronic health records in Canada
Principal investigators: Li, Yue Y
Keywords: automatic phenotyping; bayesian inference; deep learning; differential privacy; disease surveillance; electronic health records; federated learning; health informatics; public health; topic models
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Simon Gravel and Yue Li: 4 shared papers
- Simon Gravel and Archer Yang: 1 shared paper
- Yue Li and Archer Yang: 1 shared paper
- Department of Mathematics and Statistics
- Human Genetics
- School of Computer Science
Co-authors at McGill University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
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