The VADA Program

The 2019 VADA Program Summer School

Join us for an intensive three day workshop for graduate and undergraduate students with sessions such as Statistical methods for Neuroimaging Data Analysis, Visualization Techniques for Genomic Epidemiology, Github and Jupyter Notebook

Where: Winnipeg, Manitoba at the George and Fay Yee Centre for Healthcare Innovation

When: June 12th – 14th from 8:30am – 4:30pm

Cost: $180

Register here

Featured Speakers

Dr. Linglong Kong – Linglong Kong is an associate professor at the department of Mathematical and Statistical Sciences at the University of Alberta. Currently, Currently, Linglong is serving as associate editor of Journal of the American Statistical Association, Applications & Case Studies, International Journal of Imaging Systems and Technology, Canadian Journal of Statistics, and as the ASA Statistical Imaging Session program chair. His research interests include high-dimensional data analysis, neuroimaging data analysis, robust statistics and quantile regression, and statistical machine learning.





Dr. Andriy Koval – Dr. Koval is an assistant professor with the Department of Health Management and Informatics at University of Centra Florida. His background is in quantitative methods and he has a strong interest in data-driven models of human aging. Interest in data-driven narratives of human aging lead Dr. Koval to explore the use of electronic health records (EHR) for research and improvement of patient care. Dr. Koval’s program of work proposes to develop a system for population health surveillance that would focus on chronic diseases, with particular focus on mental health and substance use (MHSU) conditions, which tend to have high comorbidity rates, polysubstance use patterns, and slowly progressing pace of development.




Dr. Michael Routledge – Michael Routledge is a physician with residency training in public health/preventative medicine, and also in family medicine. Most of his career has been in public heath practice in Manitoba as a Medical Officer of Health, including four years as the Chief Provincial Public Health Officer. He has also worked as a family physician, and as the medical director for home care in the Winnipeg Health Region. He is currently MOH with the Southern RHA.



Dr. Joon Lee – Dr. Joon Lee is the Director of the Data Intelligence for Health Lab and an Associate Professor of Health Data Science in the Cumming School of Medicine, University of Calgary. Prior to joining the University of Calgary, he held a faculty appointment in the School of Public Health and Health Systems at the University of Waterloo for 6 years. He holds a PhD in Biomedical Engineering from the University of Toronto and completed postdoctoral training in Medical Data Science at the Harvard-MIT Division of Health Sciences and Technology. His research applies data science, machine learning, artificial intelligence, natural language processing, mobile technology, and biostatistics to a wide range of health domains including intensive care medicine, aging, and population health surveillance. He received the Early Researcher Award from the Ontario Ministry of Research, Innovation and Science in 2016.






Dr. Ana Crisan – Anamaria Crisan is a Vanier Canada Scholar and UBC Public Scholar in her final year of study in Computer Science at the University of British Columbia. Under the joint supervision of Dr. Tamara Munzner and Dr. Jennifer Gardy, she is researching how to visualize the heterogenous collections of genomic and public health data that support investigations of disease outbreaks.  Prior to her PhD, Ana worked as a researcher with the British Columbia Centre for Disease Control and, separately, at a Vancouver-based start-up where she was responsible for the research and development of a commercially deployed prostate cancer genomic classifier. She holds a MSc in Bioinformatics from the University of British Columbia and a BSc in Computer Science from Queen’s University. You can learn more about her research on her website.






Adrian Zetner – Adrian Zetner is a computational biologist and member of the Bioinformatics section at the National Microbiology Laboratory. He collaborates with fellow scientists on genomics-related public health projects as well as heading the department’s online and in-person training programs. Despite his initial reluctance, he has now embraced Jupyter notebooks as the ideal vehicle for computer-aided scientific analysis and communication. He is a graduate of the University of Manitoba Microbiology program, and a self-taught R champion.