The UBC Data Science Institute is a Faculty of Science initiative designed to incubate and accelerate research, innovation and training in data-intensive science. Working across the university’s data science community and advanced computing teams, DSI equips researchers and external partners with the approaches, tools and expertise they need to fully leverage the potential of big data.
Campus
Vancouver
Affiliated UBC Faculty & Postdocs
| Name | Role | Research Interests |
|---|---|---|
| Beschastnikh, Ivan | Faculty (G+PS eligible/member) | Computer and information sciences; software engineering; distributed systems; cloud computing; software analysis; Machine Learning |
| Bouchard-Cote, Alexandre | Faculty (G+PS eligible/member) | machine/statistical learning; mathematical side of the subject as well as in applications in linguistics and biology |
| Carenini, Giuseppe | Faculty (G+PS eligible/member) | Artificial intelligence, user modeling, decision theory, machine learning, social issues in computing, computational linguistics, information visualization |
| Carlsten, Christopher | Faculty (G+PS eligible/member) | Environment and Respiratory Diseases |
| Cherkasov, Artem | Faculty (G+PS eligible/member) | Drug design; Bioinformatics, Molecular modeling; Proteomics; Artificial intelligence; Antibiotics |
| Cohen Freue, Gabriela | Faculty (G+PS eligible/member) | statistical genomics (focus in proteomics), robust estimation and inference, linear models with endogeneity |
| Conati, Cristina | Faculty (G+PS eligible/member) | artificial intelligence, human-computer interaction, affective computing, personalized interfaces, intelligent user interfaces, intelligent interface agents, virtual agent, user-adapted interaction, computer-assisted education, educational computer games, computers in education, user-adaptive interaction, Artificial intelligence, adaptive interfaces, cognitive systems, user modelling |
| Ding, Jiarui | Faculty (G+PS eligible/member) | Bioinformatics; Basic medicine and life sciences; Computational Biology; Machine Learning; Probabilistic Deep Learning; single-cell genomics; visualization; Cancer biology; Computational Immunology; Food Allergy; neuroscience |
| Field, Thalia | Faculty (G+PS eligible/member) | stroke; Clinical trials; cerebral venous thrombosis; outcomes; cognition; Machine Learning |
| Friedlander, Michael | Faculty (G+PS eligible/member) | numerical optimization, numerical linear algebra, scientific computing, Scientific computing |
| Ho, Kendall | Faculty (G+PS eligible/member) | eHealth, knowledge translation, educational research, continuing professional development, interprofessional education, evidence informed policy, eLearning, global eHealth |
| Lakshmanan, Laks | Faculty (G+PS eligible/member) | data management and data cleaning; data warehousing and OLAP; data and text mining; analytics on big graphs and news; social networks and media; recommender systems |
| Munzner, Tamara | Faculty (G+PS eligible/member) | Human-centered computing; visualization; information visualization; visual analytics; data science |
| Ng, Raymond Tak-yan | Faculty (G+PS eligible/member) | Data mining and analysis, health informatics, text summarization, text mining |
| Odic, Darko | Faculty (G+PS eligible/member) | Cognitive development |
| Plan, Yaniv | Faculty (G+PS eligible/member) | applied probability, high-dimensional inference, random matrix theory, compressive sensing, and matrix completion. |
| Rieseberg, Loren | Faculty (G+PS eligible/member) | Bioinformatics; Genomics; Plant biology; adaptation; crops; invasive plants; plant evolutionary biology; speciation; weeds |
| Salibian-Barrera, Matias | Faculty (G+PS eligible/member) | S-regression estimationg, robust statistics, functional principal component analysis, bootstrap estimators, rgam, clustering algorithm |
| Schmidt, Mark | Faculty (G+PS eligible/member) | Machine learning; Numerical Optimizaiton; Probabilistic Graphical Models; Causality |
| Sigal, Leonid | Faculty (G+PS eligible/member) | Computer and information sciences; Artificial Intelligence; Computer Science and Statistics; Parametric and Non-Parametric Inference; Computer Vision; Machine Learning; Semantic Recognition; Vision + Natural Language Processing; Visual Recognition and Understanding |
| Tam, Roger | Faculty (G+PS eligible/member) | Machine learning; Biomedical signal processing; Biomedical Design and Innovation; Biomedical Technologies; Computer Science and Statistics; Data Analytics; Medical Imaging; Machine Learning; Neurodegenerative diseases; Precision Medicine; Radiology |
| Welch, William | Faculty (G+PS eligible/member) | Computational methods in statistics; Computer experiments; Design and analysis of experiments; Statistical machine learning; Environmental modellign |
| Wu, Lang | Faculty (G+PS eligible/member) | Biostatistical methods; Longitudinal data analysis, mixed effects models, missing data, hypothesis testing, biostatistics |
| Yilmaz, Ozgur | Faculty (G+PS eligible/member) | Mathematical problems related to analog-to-digital conversion, blind source separation, sparse approximations and compressed sensing, and applications in seismic signal processing |