Luk Arbuckle
Director of Analytics, Privacy Analytics Inc.
Luk Arbuckle, Director of Analytics at Privacy Analytics Inc, leads a team that conducts risk analyses on the re-identification of patients in data, and conducts research on de-identification practices and re-identification risk measurement. He is co-author with of the O’Reilly book Anonymizing Health Data: Case Studies and Methods to Get You Started. The book covers several de-identification projects he’s worked on, such as the $3 million Heritage Health Prize, and the Cajun Code Fest hackathon. He has worked closely with Khaled El Emam, Canada Research Chair in Electronic Health Information and Founder and CEO of Privacy Analytics Inc. Luk spent three years studying systems engineering before transferring into a major in mathematics, which then led to a master’s in mathematics to study the underpinnings of signal/image wavelet processing. His skills were then put to use in the field of remote sensing digital image analysis as a member of the research department at MDA Corporation. To further develop his data analysis skills, he completed a master’s degree in statistics working on predictive models for the Ottawa Hospital Research Institute. He’s been awarded an NSERC Post Graduate Scholarship, a Canada Graduate Scholarship, as well as other scholarships, bursaries, and awards.
Luk Arbuckle, Director of Analytics at Privacy Analytics Inc, leads a team that conducts risk analyses on the re-identification of patients in data, and conducts research on de-identification practices and re-identification risk measurement. He is co-author with of the O’Reilly book Anonymizing Health Data: Case Studies and Methods to Get You Started. The book covers several de-identification projects he’s worked on, such as the $3 million Heritage Health Prize, and the Cajun Code Fest hackathon. He has worked closely with Khaled El Emam, Canada Research Chair in Electronic Health Information and Founder and CEO of Privacy Analytics Inc. Luk spent three years studying systems engineering before transferring into a major in mathematics, which then led to a master’s in mathematics to study the underpinnings of signal/image wavelet processing. His skills were then put to use in the field of remote sensing digital image analysis as a member of the research department at MDA Corporation. To further develop his data analysis skills, he completed a master’s degree in statistics working on predictive models for the Ottawa Hospital Research Institute. He’s been awarded an NSERC Post Graduate Scholarship, a Canada Graduate Scholarship, as well as other scholarships, bursaries, and awards.
