Peter W. MacDonald
I am a PhD candidate in the Department Statistics at the University of Michigan. I work primarily on statistical analysis of networks. I am co-advised by Dr. Elizaveta Levina and Dr. Ji Zhu, and a member of their research group. Previously, I received my MMath (Statistics) and my BMath (Statistics and Pure Mathematics) from the University of Waterloo (ON).
Multilayer and dynamic networks
(with Elizaveta Levina and Ji Zhu)
- Latent space models for common and individual structure in multiplex networks (submitted to Biometrika, pre-print on arXiv,
multiness R package on GitHub).
- Latent space models for dynamic networks.
(with Dan Kessler and Snigdha Panigrahi)
- Valid post-selection inference with grouped sparsity (submitted to JASA, pre-print on arXiv).
Multiple testing and false discovery rate (FDR) control
(with Kun Liang and Yingli Qin)
- Dynamic-adaptive procedures which control the FDR (paper in EJS).
- Multiple hypothesis testing with group information (book chapter forthcoming).
- MMath, University of Waterloo, 2018.
- BMath, University of Waterloo, 2017.
Selected awards and honors
- Statistical Learning and Data Science (SLDS) Student Paper Award, JSM 2021.
- Rackham International Student Fellowship, University of Michigan, 2019.
- Outstanding First Year PhD Student, University of Michigan Department of Statistics, 2019.
- NSERC Canada Graduate Scholarship (Masters), University of Waterloo, 2017.
- President’s Graduate Scholarship, University of Waterloo, 2017.