MASSON Jean-Baptiste

Statistical physics applied to biology

jean-baptiste.masson [at] pasteur.fr

Jean-Baptiste Masson

Short bio

Principal investigator of the Decision and Bayesian computation laboratory, visiting scientist at Janelia research campus (2014-2019), visiting scientist at Institut Curie (2013), recipient of the StartULM (2018), C’nano innovation (2017) and Young researcher price of the French Biophysics Society (2009).

Topics of interest

Bayesian inference, neuroscience, biological decision-making, statistical physics and data processing in virtual reality

Project in Prairie

Jean-Baptiste Masson will focus on Bayesian induction, structured inference, physical environment modeling and statistical physics to probe learning in insect brains using neuronal, connectome and behavior imaging. He will organize every two years symposium on links between neuroscience, AI and physics; and a graduate class on structured inference.

Quote

How are insects able to perform complex probabilistic tasks by leveraging only small small neural networks, whereas machine-learning tasks often require large-scale architectures and extensive training on massive datasets? Evolution is able to shape decision-making in small neural circuits while maintaining high performance. By joining physical modelling, supervised and unsupervised structured inferences, Bayesian induction and numerical simulations, we can probe how evolution programmed robust decision making in the “brain“ of insects. In turn, we can extract key neural circuits from these insects and test their performance in real-world tasks.

WALTER Thomas

Bioimage Informatics Computer Vision

thomas.walter [at] mines-paristech.fr

Thomas Walter

Short bio

Thomas Walter received his PhD from the Centre for Mathematical Morphology, Mines Paris-Tech. After 6 years of work at the EMBL Heidelberg, he joined the Centre for Computational Biology (CBIO, Mines ParisTech) in 2012. Since 2018, he is director of the CBIO and codirector of the department “Cancer and Genome: Bioinformatics, Biostatistics, Epidemiology of Complex Systems» (Institut Curie / Mines ParisTech / INSERM).

Topics of interest

Computer Vision, Bioimage Informatics, Histopathology, High Content Screening

Project in Prairie

Thomas Walter will work on problems in bioimage analysis. The main challenge he will address is to overcome massive annotations, which are often required for state-of-the-art computer vi-sion methods, but which seem unrealistic for many bioimaging projects. For this, he will investi-gate the experimental generation of ground truth data, weak supervision and image simulation. He will work on applications in fundamental cell biology, drug screening and histopathology.

Quote

Large-scale imaging approaches in biology and medicine are about to revolutionize basic life sciences and healthcare. Complementary to molecular approaches, they allow us to explore the spatial, morphological and multi-scale aspects of living systems. Artificial intelligence is the key technology today to transform this data deluge into knowledge. In this field, one of the major challenges for the next years is to overcome the need for massive annotation.