Thank you to everyone who made it out to our symposium!
We were thrilled to see so many bright and talented people come out and share their ideas. We can't to see you all again at next year's symposium!
2020 Artificial Intelligence in Health Care Symposium
For the year 2020, we will be hosting a symposium that focusses on the applications of Artificial Intelligence in Health Care. This symposium will feature talks from experts in the field as well as booths displaying local start-ups and organizations with expertise in the domain of artificial intelligence and health care.
Katz Group Centre for Pharmacy and Health Research,
University of Alberta
87 Avenue & 114 Street
Edmonton, AB T6G 2E1
Booths: Katz atrium
Talks: Katz 1-080
Osmar R. Zaïane is a Professor in Computing Science at the University of Alberta, Canada, and Scientific Director of the Alberta Machine Intelligence Institute (Amii). Dr. Zaiane obtained his Ph.D. from Simon Fraser University, Canada, in 1999. He has published more than 300 papers in refereed international conferences and journals. He is Associate Editor of many International Journals on data mining and data analytics and served as program chair and general chair for scores of international conferences in the field of knowledge discovery and data mining. Dr. Zaiane received numerous awards including the 2010 ACM SIGKDD Service Award from the ACM Special Interest Group on Data Mining, which runs the world’s premier data science, big data, and data mining association and conference.
Katz 1-080 0915h An Introduction to AI in Medicine
After earning a PhD from Stanford, Russ Greiner worked in both academic and industrial research before settling at the University of Alberta, where he is now a Professor in Computing Science and the founding Scientific Director of the Alberta Innovates Centre for Machine Learning (now Alberta Machine Intelligence Institute), which won the ASTech Award for "Outstanding Leadership in Technology" in 2006. He has been Program Chair for the 2004 "Int'l Conf. on Machine Learning", Conference Chair for 2006 "Int'l Conf. on Machine Learning", Editor-in-Chief for "Computational Intelligence", and is serving on the editorial boards of a number of other journals. The main foci of his current work are (1) bioinformatics and medical informatics; (2) learning and using effective probabilistic models and (3) formal foundations of learnability.
Katz 1-080 1230h ML for MDs
Adam Parker is a PhD candidate in Rehabilitation Science at the University of Alberta, and working in the BLINC lab under Dr. Patrick M. Pilarski. Adam did his undergraduate degree in Electrical engineering, and holds two previous diplomas from NAIT and SAIT in electronics engineering technology and aircraft maintenance technology respectively. He currently works with machine learning and artificial limbs. More generally, Adam is interested in assistive robotics, machine learning, and communication; working on ways of combining humans and machines in collaborative and cooperative settings.
Katz 1-080 1000h AI in Artificial Limbs
Ermin Nath is a Fellow in Echocardiography at the University of Alberta’s Mazankowski Alberta Heart Institute. After graduating from medical school, he trained for one year in the Family Medicine residency program at the University of Calgary before moving to Edmonton to complete Internal Medicine and Cardiology residencies at the University of Alberta. He has worked extensively in the ICU and is entering his 4th year of independent practice. He also holds a Bachelor of Science from the University of Alberta. Ermin’s main areas of interest in medicine are consciousness, mindfulness, and artificial intelligence. He also works alongside his twin brother, Dr. Emil Nath, to spread reason and scientific literacy to improve public discourse.
Katz 1-080 1500h AI in Echocardiography
Eleni Stroulia is a Professor and NSERC/AITF Industrial Research Chair on Service Systems Management (w. support from IBM) with the Department of Computing Science at the University of Alberta. Her research addresses problems motivated by industrial and community needs with software systems designed to support the activities of the people involved and improve their efficiency and the quality of their output.she is now focusing on mining and fusing information from multiple social platforms regarding the types of expertise profiles and teamwork processes that lead to innovation, in collaboration with industrial partners and NCEs.
Katz 1-080 1300h AI for Health Assessment
Jacqueline Harris is a PhD student in Computer Science at the University of Alberta under the supervision of Dr. Russell Greiner. She is a member of the University of Alberta Computational Psychiatry research team and an AI student ambassador with Intel. Jacqueline’s research is a continuation of her work as a research assistant for Dr. Glenda MacQueen at the University of Calgary in collaboration with the Canadian Biomarker Integration Network in Depression (CAN-BIND). She has a Bachelor of Science in Life Sciences from Queen’s University with a minor in Computer and Information Science, and a Master of Science from the University of Western Ontario in Medical Biophysics. Her research is primarily focused on predictive modelling in depression, and representation learning for functional magnetic resonance imaging (fMRI).
Katz 1-080 1100h AI in Psychiatry
Dr. Paproski is the lead technology researcher for the development and validation of the machine learning platform/fingerprint at Nanostics. Robert earned his B.Sc. in Pharmacology and Ph.D. in Oncology at the University of Alberta. Since then, he has developed a broad range of skills over multiple disciplines centered on diagnostics using a variety of imaging technologies. Dr. Paproski’s experience also includes data analysis using MATLAB, R, and Python to predict clinical outcomes using state-of-the-art algorithms such as XGBoost and deep artificial neural networks.
Katz 1-080 1030h AI in Diagnosing Prostate Cancer
Dr. Alona Fyshe holds a Canadian Institute for Advanced Research (CIFAR) Artificial Intelligence Chair, is a fellow of the “Learning in Machines and Brains” CIFAR Program, and is a fellow of the Alberta Machine Intelligence Institute (amii). Her interests are Computational Linguistics, Machine Learning and Neuroscience. Dr. Fyshe's work combines all three of these areas to study the way the human brain processes language.
Katz 1-080 1130h AI Models for Meaning
Professor Erin Nelson teaches Tort Law, Health Care Ethics and the Law, and Law & Medicine. She is a Fellow and member of the Advisory Board of the Health Law Institute. Professor Nelson obtained her B.Sc.P.T. in 1991 and her LL.B.. in 1995, both from the University of Alberta. After clerking for Mr. Justice John Sopinka of the Supreme Court of Canada, Professor Nelson completed her articles at Witten Binder in Edmonton. She then spent two years as Project Manager at the Health Law Institute in the Faculty of Law before leaving for Columbia University to pursue graduate work in health law.
Professor Nelson joined the Faculty of Law in 2000. She served as the Associate Dean (Research) from 2009-2011. In 2012-13, Professor Nelson served as Senior Legal Counsel to the Honourable Catherine Fraser, Chief Justice of Alberta.
Katz 1-080 1430h Judicial Implications of AI in Healthcare
Dr. Matthew Parker, Manager of Public Sector at AltaML, leads the health arm of the company. AltaML is working in various areas of Health AI, ranging from care pathway prediction to improving pathology work flows. Previously, Matt was working in commercialization and innovation in Toronto for Sinai Health System. Matt has a PhD in Biochemistry from the University of Victoria and an MBA from the Schulich School of Business with a specialization in Health Industry Management.