Dr. Beauchemin's research interest is in virophysics, a branch of biophysics in which the theories and methods of physics are applied to study the properties of virus infections. Her research group develops computer and math models to represent the initiation and progression of a virus infection within a cell culture or a host. Matching the models' behaviour to experiments allows them to test competing hypotheses or to evaluate the efficacy and mode of action of antiviral drugs or the impact of a particular virus mutation on the severity of a virus.
Dr. Beauchemin is originally from Montreal, Qc. She received her B.Sc. in Computational Physics from the University of Ottawa in 2001, and obtained her Ph.D. in Biophysics under the supervision of Dr. Jack Tuszynski at the University of Alberta in 2005. Before joining Ryerson University in 2007, she was a postdoctoral fellow jointly at the Los Alamos National Laboratory with Dr. Alan S. Perelson, and at the Adaptive Computation Laboratory in the Computer Science Department of the University of New Mexico with Dr. Stephanie Forrest. She is a member of The College of New Scholars, Artists and Scientists of the Royal Society of Canada, and a Deputy Program Director for the Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) programme at RIKEN (Japan).
Dr. Cardozo-Ojeda is a Senior Staff Scientist with the Schiffer Group in the Vaccine and Infectious Disease Division of Fred Hutchinson Cancer Research Center. His research interests center on theoretical biology of virus and immune system dynamics, and response to therapeutic strategies especially in the context of HIV-1 infection. Theoretical approaches involve the use of ordinary differential equations and nonlinear mixed effects models and other statistical tools to analyze and interpret longitudinal data from in-vivo experiments and clinical trials. The aim is to quantify key parameters in virus infection, characterize the in-vivo effects of therapeutic agents and develop specific and testable hypotheses to guide future clinical trials.
Dr. Graw is a Research Group Leader and Chica- and Heinz Schaller research fellow at the BioQuant-Center for Quantitative Biology and the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University. Dr. Graw’s group investigates infection and immune processes within a host by combining mathematical models with experimental and clinical data. The main focus of his research is on the analysis of host-pathogen interactions and disease dynamics within complex tissue environments (as e.g. for HIV, HCV and DENV), as well as on the identification of processes that regulate immune responses and determine optimal vaccination regimens (e.g. against influenza A virus, Malaria). He is working on mathematical and computational methods that allow the integrative analysis of different types of data (e.g. single cell information, live-cell imaging, serology measurements, etc.) to study how single-cell characteristics shape multi-cellular dynamics and vice versa. Dr. Graw studied mathematics at the Universities of Siegen and Freiburg i. Brsg, and obtained his PhD in theoretical immunology from the ETH Zurich in 2010. He then became a postdoctoral fellow at the Los Alamos National Laboratory, New Mexico, US, working together with Alan Perelson, before establishing his own research group as a BIOMS research fellow within the Center for Modelling and Simulation in the Biosciences (BIOMS) at Heidelberg University in 2012.
Dr. Guedj is a researcher in biostatistics/biomathematics with the Infection, Antimicrobials, Modelling, Evolution Laboratory (IAME), specialized in viral dynamics and antiviral treatment. Created in 2014, the laboratory belongs to the French National Institute of Health and Medical Research (Inserm), to the University of Paris and to the University Sorbonne Paris Nord. The laboratory is an alliance from basic to clinical and population-based research towards medical progress in the fight against infectious diseases. Dr. Guedj co-leads a group of pharmacometrics, biostatistics and clinical investigation in infectious diseases. His research has theoretical and clinical objectives, such as understanding drugs’ mechanism of action and optimizing their efficacy, in chronic (HIV, HBV) and acute emerging viral infections (SARS-CoV-2, Ebola, Nipah). He also applies the methods developed in virus dynamics to other fields of research, in particular bacterial dynamics (microbiota, phage therapy) or cancer therapy. He is an engineer by training and received his PhD in biostatistics from University Bordeaux 2 in 2006. He then did postdocs in Israel and in the US where he specialized on the modelling of host/pathogen interaction, in particular in HIV and viral hepatitis. In 2011, Dr. Guedj was recruited as a researcher at Inserm and oriented his research towards the pharmacometrics of infectious diseases, i.e., the development of mathematical and statistical models to optimize the response to antiviral treatment.
Dr. Iwami is conducting interdisciplinary research to elucidate “Quantitative Population Dynamics” through the course of life with original mathematical theory and computational simulation, which are both our CORE approach. His mathematical model-based approach has quantitatively improved a current gold-standard approach essentially relying on the statistical analysis of “snapshot data” during dynamic interaction processes in life sciences research. Integrating current high-throughput technics including next-generation sequencer and mathematical sciences, he is striving to make a paradigm shift in future life sciences research. His developing approach could be applied to population dynamics of virus infections, immune system (e.g. differentiation process from hematopoietic stem cell or other specific immune cell) and to other aspects of cancer progression in terms of quantitative understandings for complex life phenomena including different time-scales and multi-layer data.