Assistant Professor, Department of Psychology, University of Alberta Dr. Yao Zheng is an Assistant Professor in the Department of Psychology at the University of Alberta in the Developmental Science area. He was previously a Postdoctoral Fellow at Simon Fraser University and University of Quebec at Montreal. He received is Ph.D. and M.S. in Human Development and Family Studies, as well as a M.A.S. in Applied Statistics, from the Pennsylvania State University. He received his B.S. in Psychology from Yuan Pei Honors College, Peking University. During graduate school, he also visited the Department of Developmental Psychology at Friedrich-Schiller University Jena and the Social, Genetic, & Developmental Psychiatry Center at King’s College London as a visiting graduate student. Guided by a developmental psychopathology approach, Dr. Zheng’s research focuses on the development and prevention of child and adolescent behavioral and emotional problems with the ultimate goal of informing intervention to promote physical and mental well-being. Specifically, as a lifespan developmental researcher, he investigates the influences of family and peer processes that shape normal and atypical development at multiple levels of analysis (e.g., genetic, psychological, behavioral) and timescales (e.g., days, years) in various ecological contexts (e.g., family, culture). He is particularly interested in how children and adolescents from at-risk or ethnic/racial minority populations can prosper and show resilience despite adverse experiences.
Ph.D. Candidate in Biological Sciences, Vanderbilt University I use computational methods to research human population genetics. In particular, I study how cultural traits like language and marital practices have influenced human genetics.
Lecturer in Artificial Intelligence, King's College London Prior to joing King's College London, Yali Du was a postdoctoral research fellow at University College London. She obtained her PhD from The University of Technology, Sydney. Her research interests include Multi-Agent Cooperation and Coordination; Reinforcement Learning and Generalisation; Evaluation of Human and AI players; Social Aspects of Learning Agents (e.g. explainability, human-in-the-loop learning, ethics); Applications in Game AI, Data Science, etc.
Reader in Mathematics, University of Sussex I am an applied mathematician with research interests focussed on the use of fundamental methods of applied mathematics, in particular, nonlinear dynamics, to develop new theoretical, computational and experimental tools for solving 'real-world' problems, and to use application-driven challenges to inspire new mathematics. In particular, members of my group and myself are working on: -Delay differential equations with discrete and distributed delays -Epidemic modelling with latency and immunity -Neural network models with delayed connections -Modelling of genetic networks -Time-delayed feedback control of chaos in spatially extended systems -Mathematical modelling and wavelet analysis of cryptocurrencies using Google Trends data -Understanding the dynamics of blockchain-based technologies using dynamical systems approach -Applications of complex networks theory to understand and optimise performance of the Internet of Things (IoT) networks
Professeur écologie et aménagement forestier, Université du Québec en Abitibi-Témiscamingue (UQAT) Titulaire d'un PhD de l'Université de Montréal (1983), Yves Bergeron est professeur à l’UQAM au Département des sciences biologiques et professeur à UQAT à l’Institut de recherche sur les forêts. Ses travaux en recherche portent principalement sur la dynamique des écosystèmes forestiers appliquée à l’aménagement forestier durable de la forêt boréale. Il fait partie des chercheurs du Centre d'étude de la forêt. Il encadre plusieurs étudiants aux cycles supérieurs et collabore à de nombreuses publications scientifiques et vulgarisées chaque année.
