Data Science Institute

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
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
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
Goldowitz, Daniel Faculty (G+PS eligible/member) Genetic basis of brain disease, neurobiology of autism, Huntingtong's gene, mouse/mice epigenetics, gene regulatory network
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, language acquisition, mathematics, perception of time and space, psychophysics, visual cognition, preschoolers, confidence, statistics
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) plant evolutionary biology; adaptation; speciation; crops; weeds; invasive plants
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) Artificial Intelligence; Computer Science and Statistics; Parametric and Non-Parametric Inference; Computer Vision; Machine Learning; Visual Recognition and Understanding; Vision + Natural Language Processing; Semantic Recognition
Tam, Roger Faculty (G+PS eligible/member) Imaging; Expert Systems; Neurodegenerative Diseases; Shape Recognition and Computer Graphics; Computer Science and Statistics; Biomedical Technologies; Machine Learning; Precision Medicine; Radiology; Biomedical Informatics; Data Analytics
Welch, William Faculty (G+PS eligible/member) , Design of experiments, experiments with computer models, data mining, drug discovery, quality improvement
Wu, Lang Faculty (G+PS eligible/member) 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
Zamar, Ruben Faculty (G+PS eligible/member) Data mining and text mining, Modeling data quality, Development of new robust procedures, Statistical computing, Bioinformatics