Anuj Mubayi Ph.D.
Ph.D. in Applied Mathematics for the Life and Social Science by Arizona State University Assistant Professor on the Department of Mathematics, Northeastern Illinois University, associate Research Scientist, Prevention Research Center, PIRE, Berkeley Summer Program Faculty, Mathematical and Theoretical Biology Institute. He is an applied and computational mathematical scientist with research that requires competency in nonlinear dynamics, bifurcation analysis, stochastic processes, uncertainty and sensitivity analysis, parameter estimation and modeling. Through his direct interactions with biologist and social scientists he has enhanced his knowledge of epidemiology and social networks.
Dr. Juan Pablo Aparicio
Doctor in Science and Bachelor in Physic Science (UBA). Professor at the Faculty of Exact Science at National University of Salta, Argentina (UNSa) and Researcher at CONICET. His research is based on dynamic, transmission and prevention in vector-borne diseases how a multidisciplinary approach using mathematical and computational models and epidemiological and environmental information.
Dr. Babak Pourbohloul
Director, Division of Mathematical Modeling, British Columbia Centre for Disease Control, Vancouver, Canada Director, W.H.O. Collaborating Centre for Complexity Science for Health Systems Associate Professor, School of Population & Public Health, Faculty of Medicine, University of British Columbia.
Dr. Pourbohloul is trained as a theoretical physicist (chaos theory and nonlinear dynamics) and for the past 17 years has been active in the development and application of complex quantitative methods in public and global health systems policy design. He has been the Principal Investigator on several international modeling projects in the application of mathematical and computational tools to mitigate emerging infectious disease outbreaks and was designated as Director of the World Health Organization Collaborating Centre for Complexity Science for Health Systems (CS4HS). He aims to develop and employ methods of complex systems analysis, through multidisciplinary collaborations, to optimize health policy design at the local, national and international levels.
Dr. David Mota-Sánchez
Dr. Mota-Sanchez’s got a Ph.D. in Michigan State University in 2003. His research focuses on the evolution of arthropod resistance to pesticides, insecticide toxicology, and metabolism of pesticides in insects. He is working on resistance of Colorado potato beetle, fall army worm, western flower thrips, and fruit pests to insecticides. Dr. Mota-Sanchez is the Co-Director of the Arthropod Pesticide Resistance Database which tracks cases of arthropod resistance globally dating back to 1914.
Dra. Claudia María Elisa Romero Vivas
Ph.D in Vector´s Biology and Epidemiology at the London School of Hygiene and Tropical Medicine. Senior Researcher and Professor at Medicine Department of North University, Colombia. Her lines of research are related with dengue, leptospirosis and other parasitic diseases specially focus on Aedes aegypti and dengue virus transmission in an urban area of central Colombia.
Dr. Patricio Ponce
Ph.D. in Entomology and Nematology at University of Florida is a professor and researcher at the Translational Research Center (CIT) of Universidad de las Américas (UDLA), Ecuador. His projects are related to vectors that transmit infectious diseases like Malaria and Dengue, ecological studies dynamic of populations and manipulation of chemical substances related to insect-host. He has participated in the creation of a National Early Warning System for controlling vectors of Dengue, Malaria and Leishmaniasis.
Dr. Pedro Merino
Ph.D. in Applied Mathematics. EPN-Quito/TU-Berlin PhD Program in Applied Mathematics, Professor at Escuela Politécnica Nacional, Ecuador, president of the Ecuadorian Mathematical Society (SEdeM), Director of the Scientific Computing Laboratory of ModeMat. His line of research is related to programmed partial differential equations constrained optimization with emphasis in biological models, numerical analysis of partial differential equations constrained optimization and numerical optimization.