NEWS JUNE 2020: POSTDOCTORAL POSITIONS IMMEDIATELY AVAILABLE
- 1 postdoctoral position in Probability and
Statistics to work on
machine learning applied to genome research on aging and neurodegenerative
- 1 postdoctoral position in human stem cell (iPSC) biology and neurosciences.
Positions are available for 2 years. Interested candidates should apply immediately (CV, 2 reference names): please contact Christian Neri.
PAST NEWS: Interested to know about the details of ideas, data and perspectives in the field shared during the 2019 EMBO workshop on Network inference and Machine learning in Biology and Disease? Here's the public summary! We plan for a second edition, stay tuned.
EMBO NIBD2019 public summary
PAST NEWS: NEUROFRANCE 2019 symposium on exocytosis and extracellular vesicles in brain development, maintenance, and disease.
Symposium supported by the Société des Neurosciences (Neurofrance 2019) and co-supported by the Société de Biologie Cellulaire Française (SBCF) and Société Française de Microscopie.
See Neurofrance 2019: https://www.professionalabstracts.com/nf2019/iplanner/#/grid
Our primary goal is to understand how the capacity of the brain cell systems to maintain function and resist neurodegenerative disease is regulated on molecular, cellular and inter-cellular levels, how this may slow down the progression of neurodegenerative disease processes, and how these mechanisms may be exploited on a therapeutic level. We study these questions in Huntington's disease (HD), a genetic neurodegenerative disease for which well-characterized models and high dimensional datasets are available across species, and in Alzheimer's disease (AD).
A related goal of our laboratory is to use our multi-disciplinary expertise to fight the loss of autonomy caused by acute stress in older people.
Our knowledge discovery model is based on the combined use of systems modeling, cell biology, genetics, and clinical research.
To understand how neurodegenerative diseases and aging may work on a system level, we developed BioGemix —a data integration framework based on innovative machine learning approaches for biological precision in the analysis of high dimensional data— and we use it for basic research and clinical discovery purposes.
Experimental biology involves cellular models such as human iPSC-derived cells, and C. elegans genetics.
We access human disease cohort data through our network of collaborators.
We work with the European HD Network (EHDN), APHP, the Gerontopole Ile-de-France, the Paris Region initiative'Longevity and aging', Sorbonne Université, CNRS, INSERM and patient associations.
We promote a strategic model based on a multi-disciplinary and trans-sectorial approach that is able to study several aspects of age-related diseases, addressing the following questions:
- What are the most important compensatory mechanisms in neurodegenerative diseases and what are their dynamics over time? How to target these mechanisms to prolonge compensation and delay the progression of neurodegenerative diseases such as HD and AD?
- What are the factors allowing to predict the individual capacity for biological resilience in neurodegenerative disease and age-related stress? Along these lines, what are the molecular diagnosis and precision medicine markers allowing to predict the most likely course of neurodegenerative disease progression rate and the most likely course of functional recovery upon age-related stress?