Faculty profile
Lin Zhang
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Simon Fraser University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Human haematopoietic stem cells remember inflammatory stress.
Nature · 2026
Suppression of microbial burden to reduce pneumonia in critical illness: the SMURF feasibility pilot study.
Critical care (London, England) · 2026
Characterizing the impacts of dataset imbalance on single-cell data integration.
Nature biotechnology · 2024
Latest funding
- $12,500
Statistical methods for complex omics data
NSERC · 2024 · Principal investigator
- $26,000
Statistical methods for complex omics data
NSERC · 2024 · Principal investigator
4 publications.
Human haematopoietic stem cells remember inflammatory stress.
Zeng AGX, Nagree MS, Jakobsen NA, Shah S, Varesi A, Kang JRW, Murison A, Cheong JG, Turkalj S, Zhang X, Radtke FA, Abera TA, Lim INX, Jin L, Araújo J, Aguilar-Navarro AG, Parris D, McLeod J, Kim H, Lee HS, Zhang L, Boulanger M, Bader E, Gbeha E, Parkhurst CN, Wagenblast E, Flores-Figueroa E, Wang B, Schwartz GW, Shultz LD, Nam AS, Grimes HL, Josefowicz SZ, Awadalla P, Vyas P, Dick JE, Xie SZ
Suppression of microbial burden to reduce pneumonia in critical illness: the SMURF feasibility pilot study.
Rohrs E, Ornowska M, Wittmann J, Hernandez S, Reynolds C, Dakin I, Zhang L, Whellams D, Masud S, Reynolds S
Characterizing the impacts of dataset imbalance on single-cell data integration.
Maan H, Zhang L, Yu C, Geuenich MJ, Campbell KR, Wang B
Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data.
Fang C, Dziedzic A, Zhang L, Oliva L, Verma A, Razak F, Papernot N, Wang B
Statistical methods for complex omics data
Principal investigators: Zhang, Lin
Keywords: statistical genomics; regression; differential expression analysis; differential abundance testing; single-cell omics; heterogeneity; robustness
Statistical methods for complex omics data
Principal investigators: Zhang, Lin
Keywords: statistical genomics; regression; differential expression analysis; differential abundance testing; single-cell omics; heterogeneity; robustness
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
- Fahad Razak and Amol Verma: 24 shared papers
- Bo Wang and Lin Zhang: 3 shared papers
- Fahad Razak and Bo Wang: 2 shared papers
- Fahad Razak and Nicolas Papernot: 1 shared paper
- Fahad Razak and Lin Zhang: 1 shared paper
- Amol Verma and Bo Wang: 1 shared paper
- Amol Verma and Nicolas Papernot: 1 shared paper
- Amol Verma and Lin Zhang: 1 shared paper
- Bo Wang and Nicolas Papernot: 1 shared paper
- Nicolas Papernot and Lin Zhang: 1 shared paper
- Department of Statistics and Actuarial Science
- Computer Science
- General Internal Medicine
- Edward S. Rogers Sr. Department of Electrical and Computer Engineering
- Other
Co-authors at Simon Fraser University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.