The COVID-19 pandemic has caused a devastating impact on the health of the world that continues today. How can we use the wealth of data generated by the pandemic to improve public health in the future?
Imaging datasets present unique opportunities and challenges for the analysis of health. Using a dataset of cervical spine CT scans, can we develop a method for automatic detection of fractures?
Hospitals collect a wealth of data on patients in their care, data which often goes under-utilized in understanding the outcomes of patients. Using in-patient data from the general internal medicine ward, what conclusions can we draw about patient outcomes?
Leo and his research team focus on three areas: scaling clinical research to be more inclusive through open access data, software and publications, particularly for underserved and under-resourced populations; improving clinical research by identifying bias in the data in order to prevent them from being encrypted in models and algorithms; and redesigning artificial intelligence research using the principles of team science and by adopting the hive learning strategy.
Felipe is the VP of Machine Learning a Signal 1, focusing on building scalable models that leverage clinical information to predict different types of outcomes and trajectories of patients. Before this, Felipe was a Senior Machine Learning Scientist at Layer 6, leading a team in Natural Language Processing and Recommender Systems research. Besides research, Felipe has delivered several applications of AI for TD insurance, work that has obtained enterprise-wide awards and granted patents. Felipe also participated in several machine learning competitions where Layer6 received top places. Felipe has a Math Ph.D. from the University of Michigan, and his publication records range from various topics, including Math, Quantum Computing, Structural Biology, and Machine Learning.
Young Lee has more than 25 year career in health care that includes experience as a clinician, consultant, and progressive leadership roles. Currently Young is the Vice President, Corporate Performance, Digital Health Innovation, and Chief Financial Officer at North York General. Prior to joining North York General, Young was a Partner, National Health Transformation Services Leader at Deloitte, where he held a variety of progressive leadership roles and completed more than 100 client engagements across Canada. Most recently, he was with Grand River Hospital, where he served as the Vice President, Planning, Innovation and Transformation and was responsible for the strategic and operational leadership of a diverse portfolio across multiple business functions. A common thread that ties Young’s various experiences is an unwavering focus and interest in supporting innovation in how our communities are served and cared for, leading to improved health outcomes and experiences for patients, families/caregivers, while also striving to ensure sustainability of our health system. Young holds a Bachelor of Science in Occupational Therapy from the University of Toronto and a Master of Business Administration from the Schulich School of Business at York University. He is also a Chartered Professional Accountant.
Dr. Andrea Doria received her medical degree from the Universidade Federal do Parana, Brazil, and did her training in Paediatrics and Radiology at the Universidade de Sao Paulo, Brazil. She then received a PhD in medical sciences from the Universidade de Sao Paulo, Brazil. She moved to Canada to pursue a fellowship in Paediatric Radiology, and obtained a master’s degree in clinical epidemiology at the University of Toronto. During her fellowship, she received the 2002 John Caffey Award for her work on BOLD MRI in experimental arthritis, and the 2003 John Kirkpatrick Young Investigator Award for her meta-analysis in appendicitis. Most recently she received a Faculty Research Award from the Medical Imaging Department (2016) and a Sloan Leadership Fellowship Award from the Massachusetts Institute of Technology (MIT), Cambridge, U.S.A. (2017). In 2019 Dr. Doria graduated at an MBA at MIT, with focuses on data analytics, sustainability of human capital and North American healthcare systems. She was the first student in the history of the Sloan MIT School of Management to obtain three Certificates in her areas of interest: Data Analytics, Sustainability and Healthcare.
Dr. Gichoya is an assistant professor at Emory university in Interventional Radiology and Informatics. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail. She is heavily invested in training the next generation of data scientists through multiple high school programs, serving as the program director for radiology: AI trainee editorial board and the medical students machine learning elective.
