Who We Are
Applied Statistics and Data Science (ASDa) is the research support and general statistical consulting group of the Department of Statistics at the University of British Columbia.
By applying best practices and capitalizing on our working relationships with leading data science researchers, our professional statistical consultants and scientific programmers can help you with all of your data analytics needs. For example, ASDa can:
- collaborate on study design and determine appropriate analytic methodology for grant proposals and project planning;
- manage, clean and wrangle data to a form that is ready for analysis;
- provide analytics through data visualization, exploration, modelling and interpretation;
- develop user friendly, interactive software tools;
- boost capacity and fill specific gaps in client’s skill sets;
- provide training through flexible, hands-on workshops on software and methodology.
Statistical Consulting and Research Lab (SCARL) was created shortly after the Department of Statistics was created in 1983. The vision was a research support unit for the Department of Statistics, to include computing, programming, data analysis, and statistical modeling. Over the years, demand from outside the department developed and it was accommodated on a user fee basis.
Starting in 2014, we began work on the new vision for the lab, in response to the emergence of data science and within it data analytics, with big data and high dimensional data analysis as fundamental features. Out of the consulation with the department researchers, our partners, and other stakeholders, SCARL was redeveloped as ASDa. The new name more accurately reflects our expertise, and the new vision for the group expands its horizon to be the leader in practical data science at UBC and the region.
John is a professor in the Department of Statistics and the faculty supervisor of ASDa.
Biljana Jonoska Stojkova
Biljana is a statistical consultant with ASDa, providing support for investigators on various research grants. She has recently completed her PhD in Statistics at SFU, where she focused on developing Bayesian algorithms and methods for multi-modal posterior spaces which were applied to differential equation models, mixture Gaussian models and ecological models. In collaboration with tech industry and the Mitacs Accelerate program, she applied probabilistic models to determine different patterns of user behavior from chat messages. In the previous roles she has gained experience with development of relational databases and with machine learning algorithms such as supervised and unsupervised learning.
Karey is a senior statistical consultant with ASDa, most recently collaborating with the Data Science Institute (DSI) in the Faculty of Science at UBC with their Data Science for the Social Good (DSSG) program. She has an MSc statistics degree from SFU and has worked as a statistical consultant embedded in various genetic, genomic and bioinformatic research groups at St. Paul’s hospital, Child and Family Research Institute and BC Cancer Research Centre. In addition to her statistics background, she has experience with machine learning techniques such as supervised, unsupervised methods, clustering, and topic modelling.
Carolyn currently is the Managing Consultant for ASDa and has served as a statistical consultant in the Department of Statistics since completing her MSc degree in Statistics at SFU in 1998. She works with Statistics professors, Industry research partners and Government agencies on problem formulation, study design, data management, method development, analysis and implementation. She continues to support investigators and students on the second of two 5-year industry collaborative research and development grants.