Research Expertise

 

Scientific Director

Raymond T Ng

Professor | Computer Science
Chief Informatics Officer | PROOF (Prevention of Organ Failure) Centre
Canada Research Chair in Data Science and Analytics

Raymond’s main research area for the past two decades is on data mining, with a specific focus on health informatics and text mining. He has published over 180 peer-reviewed publications on data clustering, outlier detection, OLAP processing, health informatics and text mining. He is the recipient of two best paper awards – from the 2001 ACM SIGKDD conference, the premier data mining conference in the world, and the 2005 ACM SIGMOD conference, one of the top database conferences worldwide. For the past decade, he has co-led several large-scale genomic projects funded by Genome Canada, Genome BC and industrial collaborators. Since the inception of the PROOF Centre of Excellence, which focuses on biomarker development for end-stage organ failures, he has held the position of the Chief Informatics Officer of the Centre. From 2009 to 2014, Dr. Ng was the associate director of the NSERC-funded strategic network on business intelligence.

More about Raymond Ng

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Affiliated Faculty Members

Matías Salibián-Barrera

Professor | Statistics

Matías' research interests are in the areas of robustness, functional data analysis, computational statistics and spatial statistics. He was the winner of the CRM-SSC Prize in Statistics (2015) for his contributions to robust statistics and for developing fast computational algorithms for robust procedures.

Departmental Website

Mark Schmidt

Associate Professor | Computer Science

Mark works in the area of machine learning, which focuses on automatic discovery of patterns in large datasets. His theoretical focus is on the algorithms underlying these methods. He tries to make them scale up to huge datasets and work on developing generalizations that can model very complicated patterns. He has also worked on various practical applications, including several works on medical imaging. Mark is a Canada CIFAR AI Chair and Canada Research Chair in Large-Scale Machine Learning.

Departmental Website

Leonid Sigal

Associate Professor | Computer Science

Leonid's research focuses on problems of visual understanding and reasoning. This includes object recognition, scene understanding, articulated motion capture, motion modeling, action recognition, motion perception, manifold learning, transfer learning, character and cloth animation and a number of other directions on the intersection of computer vision, machine learning, and computer graphics.

Departmental Website

Roger Tam

Associate Professor | Department of Radiology and School of Biomedical Engineering

Roger's research interests are centered around the application of computer vision and machine learning methods to the quantitative analysis of medical images. His current primary research direction is the use of medical imaging to improve the understanding of diseases such as multiple sclerosis and chronic obstructive pulmonary disease.

Lab Website

Christos Thrampoulidis

Assistant Professor | Electrical and Computer Engineering

My ongoing research lies at the intersection of high-dimensional statistics, optimization, signal-processing and machine learning.

Personal Website

Reza Vaziri

Professor | Civil Engineering

Reza's research is focused on the development of analytical and numerical modelling techniques to simulate the manufacturing process of composite structures as well as their fracture and damage behaviour under service loads including high intensity impact and crash loadings.

Departmental Website

Will Welch

Professor | Statistics

Welch’s research spans computer-aided design of experiments, quality improvement, the design and analysis of computer experiments, statistical methods for drug discovery, and algorithms for statistical/machine learning. For a list of publications please see http://scholar.google.com/citations?user=Bus4Xi8AAAAJ&hl=en

Departmental Website

Frank Wood

Associate Professor | Computer Science

My primary research areas are probabilistic programming and applied probabilistic machine learning; specifically I'm interested in the development and application of new probabilistic models and inference algorithms to real-world applications. My research contributions include probabilistic programming systems, new models and inference algorithms, and novel applications of such models to problems in computational neuroscience, vision, natural language processing, robotics, and reinforcement learning.

Departmental Website

Lang Wu

Professor | Statistics

My research is mostly motivated from analysis of datasets from health sciences, especially in HIV/AIDS studies and cancer studies, but the models and methods can be applied in other areas such as economics and engineering. My main focus is on analysis of longitudinal data (or panel data) and survival data when there are missing values, censored values, measurement errors, and outliers. My another focus is on constrained inference or order-restricted hypothesis testing, i.e., hypothesis tests for multiple parameters when the parameters are constrained.

Departmental Website

Kwang Moo Yi

Assistant Professor | Computer Science

Kwang's core research interest lies in advancing computer vision by leveraging machine learning as the main tool. Specifically, he is interested in developing visual geometry to understand and interact with the local environment, enabling safer and better autonomous vehicles, drones, and robots. This also has benefits for augmented and mixed reality applications. He is a firm believer that the development of smarter vision systems will improve the quality of human life.

Departmental Website

Ozgur Yilmaz

Professor | Mathematics

Ozgur’s work is on the theory of compressed sensing and related fields studying mathematics of information as well as the application of theory and computation in practical problems. The areas of applications he focuses on include seismic data analysis, audio signal processing, and analog-to-information conversion.

Departmental Website

Ruben Zamar

Professor | Statistics

Ruben's research interest lies in the areas of data mining and statistical computing, with specific focus on data and text mining, modeling data quality of high dimensional data, development of new robust procedures, and bioinformatics.

Departmental Website

Naomi Zimmerman

Assistant Professor | Department of Mechanical Engineering

My research program revolves around the development and application of real-world-based tools to quickly and quantitatively assess the impact of our policy and technology decisions on air pollution and climate outcomes, and to use the knowledge gained to support better environmental policy planning.

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