Grégoire Altan-Bonnet, Ph.D.
I have been trained in Statistical Physics and nonlinear dynamics (PhD) and in Immunology (post-doctoral studies). My field of expertise is Systems Immunology: the ImmunoDynamics group I am heading has been developing experimentally validated quantitative models of different aspects of the immune system. In particular, we have addressed the interplay between the robustness and variability of self/non-self discrimination in the immune system. We are also focused on developing quantitative models of lymphocyte-lymphocyte communications via cytokine. Our current projects focus on the multicellular coordination of immune responses against tumors and pathogenic infections. We are particularly interested in developing quantitative models of the integration of signal transduction, gene regulation, cytokine communications, cell differentiation, and proliferation/death across multiple spatio-temporal scales. Our long-term goal is to help in the development of tailored immunotherapies (e.g. against tumors).
1) immunology, 2) systems biology, 3) computational modeling, 4) biological physics
We are interested in developing actionable models of the immune response to design and optimize new immunotherapies. Our premise is that the immune system is a self-organized collection of cells, whose individual activation must be harnessed, tuned, and coaxed at the population level. We rely on new quantitative methods (e.g., single-cell phosphoprofiling by FACS and CyTOF) and computational modeling to identify key limiting steps controlling the balance between response and tolerance in the immune system.
Our computational models are strongly interfaced with our experimental efforts. We model immunological events explicitly, starting from biochemical events (e.g., ligand/receptor interactions) to cellular (signal transduction and gene regulation) to population dynamics. Such integration of multiple spatial- and time-scales is leading to a better understanding of the dynamics of immune responses, and is opening new opportunities for external manipulation and immunotherapies. Our projects go from conceptual and fundamental aspects of the immune system, to very practical applications in the pre-clinical context (profiling of tumors, manipulation of immune responses against tumors).
Selected Key Publications
A Tunable Diffusion-Consumption Mechanism of Cytokine Propagation Enables Plasticity in Cell-to-Cell Communication in the Immune System..Immunity. 48(4): 609-620, 2017. [ Journal Article ]
- Nat Rev Immunol. 19(4): 205-217, 2019. [ Journal Article ]
Quantitative immunology for physicists.Physics Report. 849: 1-83, 2020. [ Journal Article ]
- Cell. 183(6): Elsevier 1520-1535, 2020. [ Journal Article ]
- Science. 370(6522): 1328-1334, 2020. [ Journal Article ]
1994-1995 Master of Science (Physics) - École Normale Supérieure (Lyon, France)
1995-2000 Ph.D. (Physics) - the Rockefeller University (New York, NY)
2000-2005 Research Fellow (post-doctoral studies) - Laboratory of Immunology, NIAID (Bethesda, MD)
2005-2011 Assistant member - Computational Biology & Immunology programs - Memorial Sloan Kettering (New York, NY)
2012-2015 Associate member - Computational Biology & Immunology programs - Memorial Sloan Kettering (New York, NY)
2016-2020 Earl Stadtman Investigator - Laboratory of Integrative Cancer Immunology (formerly, Cancer and Inflammation Program), Center for Cancer Research, NCI (Bethesda, MD)
|Sooraj Achar B.Sc.||Postbaccalaureate Fellow (CRTA)|
|Serifat Adebola B.Sc.||Postbaccalaureate Fellow (CRTA)|
|James Anibal||Special Volunteer|
|Erol Bahadiroglu||Postbaccalaureate Fellow (CRTA)|
|Ratnadeep Mukherjee Ph.D.||Postdoctoral Fellow (Visiting)|
|Emanuel Salazar Cavazos Ph.D.||Postdoctoral Fellow (Visiting)|
|Michael Chen Yeh B.S.||Predoctoral Fellow (Graduate Student)|