Research Classification
Research Interests
Relevant Thesis-Based Degree Programs
Affiliations to Research Centres, Institutes & Clusters
Research Options
Recruitment
The introduction of information technology in medicine has enabled a transformational change in recent decades. The coronavirus pandemic further accelerated the introduction of virtual care and digital health solutions. Thus, most of my work focuses on designing, implementing, and evaluating ways that leverage technology to improve patient-relevant outcomes.
Clinical context is essential, as understanding the real-world setting where technical innovations are applied is crucial in any engineering discipline. I collaborate with medical experts, including nurses and physicians across several disciplines, engineers, data scientists, and patients and their families, to solve real-world problems. I believe it is essential to appreciate a) that technology supports and enables people, b) we need to integrate data from a wide variety of sources to generate meaningful information to guide decision-making, c) good usability is vital to workflow, and d) high levels of situational awareness are required to ensure patient safety.
My research program focuses on two key objectives:
- Digital health platforms: Develop a research data integration and exchange platform that leverages data from multiple sources, including patient-generated health data and patient-reported outcomes. It will enable (future) linking against electronic medical record data.
- Applications for predictive analytics: Design and implement outcome prediction pipelines that integrate and analyze clinical, patient-provided, and physiological data and create risk stratification models using statistical and machine learning techniques. This is primarily focusing on pediatric anesthesia and pediatric critical care.
Previously, I also worked on a) data displays for clinical decision support, b) vital signs collection infrastructure, and c) closed-loop control of anesthesia.
I consider trainees with biomedical engineering or clinical informatics backgrounds, as my program focuses on predictive analytics and digital health applications in Biomedical Engineering. I occasionally recruit trainees in Experimental Medicine for digital health research projects. Pharmacology is too far from my research interests and core training; therefore, I do NOT recruit Pharmacology students.
Next, it is helpful for you to outline which projects you are interested in and why you are an excellent fit for my program. Finally, a CV makes it easier for me to assess your suitability as a candidate, so please include this (and, ideally, a transcript and, if applicable, English test scores) with your application as you contact me.
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ADVICE AND INSIGHTS FROM UBC FACULTY ON REACHING OUT TO SUPERVISORS
These videos contain some general advice from faculty across UBC on finding and reaching out to a potential thesis supervisor.
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