Principal Investigators


Dr. Ryan Brinkman — PhD

Distinguished Scientist

Research Interest
Lab Members
  • Professor, Medical Genetics, University of British Columbia
  • Associate Faculty Member, Bioinformatics Centre, University of British Columbia
  • Faculty Member, Bioinformatics Training Program, CIHR/MSFHR
  • Associate Faculty Member, British Columbia Genome Sciences Centre
  • Adjunct Faculty, Molecular Biology and Biochemistry, Simon Fraser University
  • Adjunct Faculty, School of Computing Science, Simon Fraser University
  • CEO, Cytapex Bioinformatics Inc.


  • B.SC (Honours), Biology and Biotechnology, Carleton University, 1992
  • PhD, Genetics, University of British Columbia, 2001

Open Positions

Big Data Genome Studies

A graduate student position is available for students interested in pursuing MSc or Phd studies in Bioinformatics at the University of British Columbia. The project is aimed at characterizing the function of every mammalian gene through thorough analysis of every known and predicted gene in the mouse genome via “Big Data” analysis. To address this critical gap in biomedical research, the International Mouse Phenotyping Consortium was created to generate a null mutation for every gene in the mouse genome, to collect phenotypic data for each mutation, and to disseminate the data to the broader scientific community. Immunophenotyping by flow cytometry (FCM), is one of the 30 core phenotyping assays of this global effort. However, the full quantitative potential of the IMPC FCM effort can only be realized with mechanisms to effectively share, analyze and interpret the data.

The selected candidate will develop and use state-of-the-art computational methodologies for supervised and unsupervised clustering and classification to systematically analyze tens of thousands of high-dimensional samples to help understand the function of each gene. The candidate will also be supported to attend bioinformatics workshops and conferences to advance and disseminate their research.

Qualifications: The ideal candidate will have a strong background in Computational Biology, Bioinformatics, or equivalent with strong experience in handling high-throughput data sets as well as statistics and programming skills (we love R here). The individual will have strong verbal and written skills and the ability to work efficiently in a team environment.
In addition to the outstanding research opportunities available in this setting, students also enjoy the many cultural and sporting amenities provided in Vancouver.
Please contact Dr. Brinkman directly at and provide the following information:

– Short cover letter explaining your interest in the lab
– Resume
– Scanned copy of transcript or listing of course grades
– Names and contact information for two individuals who will be willing to provide letters of reference

Ryan Brinkman’s research is focused on developing and applying flow cytometry bioinformatics approaches to advance our understanding of human health and disease.  His early work centered on creating data standards and a free, open source computational infrastructure to support high throughput computational statistical analysis of flow cytometry data. Recent efforts have concentrated around developing complete analysis pipelines that cover all the steps from flow cytometry data pre-processing to clinical diagnosis and biomarker discovery across all the areas where the technology is applied.  The R/BioConductor flow analysis platform now supports diverse, collaborative research and patient care projects in cancer and immunology. Dr. Brinkman's lab is now applying these methodologies to both the diagnosis of patients and discovery of biomarkers in basic research and clinical investigations including for ALS, HIV, HSV vaccines, various cancers (including leukemia and lymphoma, prostrate, oral), TB, GvHD, solid organ transplantation, atherosclerosis, cancer immunotherapy, influenza, and the International Mouse Phenotyping Consortium as well as large pharmaceutical studies.

Dr. Brinkman is also active in the community as Chair of International Society for Advancement of Cytometry's (ISAC) Data Standards Task Force, coordinating the Flow Cytometry: Critical Assessment of Population Identification Methods ( Project and, an open public repository for sharing FCS data associated with peer-reviewed publications (currently adopted by PLoS, Nature Publishing Group and Cytometry A). Dr. Brinkman has been recognized for these efforts as a Michael Smith Foundation for Health Research Scholar, a Terry Fox Foundation New Investigator, an ISAC Scholar and most recently as the recipient of the 2018 Distinguished Service Award from ISAC.

A full list of Dr. Brinkman's publications is available on Google Scholar.