Dr. Laura Rosella

Dr. Laura Rosella is an adjunct scientist with Institute for Clinical Evaluative Sciences, an assistant professor at the Dalla Lana School of Public Health, an associate scientist of Public Health Ontario, and a member of the Banting & Best Diabetes Center. She is CIHR Canada Research Chair in Population Health Analytics, and this year was awarded the Brian MacMahon Early Career Epidemiologist Award and the prestigious Bill Silverman Prize in conjunction with Dr. David Henry. Previously, she was awarded the Robin Badgley Teaching Award from the Dalla Lana School of Public Health. 


Expert speakers - Big Data in Canada

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Dr. Richard BirtwhistlE

Dr. Richard Birtwhistle, MD, MSc, CCFP, FCFP is a family physician and clinical epidemiologist. He is a Professor of Family Medicine and Public Health Sciences and the Walter Wylie Rosser Chair in Family Medicine Research at Queen’s University. He is the past Vice Chair of the Canadian Task Force on Preventive Health Care which produces evidence based guidelines for primary care practitioners. Since 2008 he has been the principal investigator and is the Chair for the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). He also served as the Associate Dean for Undergraduate Medical Education in the School of Medicine at Queen’s from 1996-2004. His primary research interests include use of electronic medical records for research, chronic disease management, and the evaluation of primary care models. 

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Dr. Stan Matwin

Dr. Stan Matwin is the Director of the Institute for Big Data Analytics at Dalhousie University, Nova Scotia, Canada, and a Professor and Canada Research Chair (Tier 1) at the Faculty of Computer Science. He is also a Distinguished Professor Emeritus at the University of Ottawa, and a State Professor at the Institute for Computer Science of the Polish Academy of Sciences. Dr. Matwin holds the titles of Fellow of the European Coordinating Committee on AI, and Fellow of the Canadian AI Association (CAIAC). In 2017 he was elected to serve on the Board of Directors of CS-Can/Info Can, an organization serving as a focal point for Computer Science research and education in Canada. Internationally recognized for his work in text mining, applications of machine learning, and data privacy, he is a member of the Editorial Boards of leading journals in machine learning and data mining. Dr. Matwin was the General Chair of KDD 2017 in Halifax, Canada. He has authored and co-authored more than 250 refereed papers, and supervised of more than 50 graduate students. Dr. Matwin has extensive experience and interest in innovation and technology transfer.