2017 Polanyi Prize Winners
Dr. Mathieu Lavallée-Adam, Assistant Professor, Department of Biochemistry, Microbiology and Immunology and Ottawa Institute of Systems Biology at the University of Ottawa
Dr. Lavallée-Adam's research focuses on the development of algorithms and computational tools that analyze the interactions of proteins and their levels in cells. The statistical studies have led to a better understanding of diseases such as cystic fibrosis and have improved our general knowledge about how cells function.
Dr. Ismael Mourifié, Assistant Professor, Department of Economics, University of Toronto
Dr. Mourifié's research project examines why women are underrepresented in science, technology, engineering and mathematics (STEM) education and careers and what policies would help bring about change and potentially reduce the gender wage gap.
Dr. Vinh Nguyen, Assistant Professor, Diaspora Literatures and East Asian Studies at Renison University College, University of Waterloo
Dr. Nguyen's research project examines similarities between different refugee groups in Canada and studies the social, political and interpersonal relationships that emerge from refugee crises.
Dr. Sarah Svenningsen, CIHR and CRRN Post-Doctoral Research Fellow, McMaster University and Robarts Research Institute, Western University
Dr. Svenningsen's research shows that asthma measurements can be dramatically improved by harnessing the power of novel medical imaging strategies, image analysis algorithms and basic physiology research. Dr. Svenningsen's work will lead to personalized targeted treatment of severe asthma to help improve patient outcomes.
Dr. Areti Angeliki Veroniki, Post-Doctoral Fellow, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of TorontoDr. Veroniki's research focuses on developing methods for improving network meta-analysis, a process that brings together and compares several studies on trials of different treatments. Her research will lead to better decision-making on determining which treatment is most effective on which type of patient.