A5012230178- Immune cells in cancer
- Neuroinflammation and Neurodegeneration Mechanisms
- Single-cell and spatial transcriptomics
- Tissue Engineering and Regenerative Medicine
- Neurogenesis and neuroplasticity mechanisms
- Transport Systems and Technology
- Advanced Optimization Algorithms Research
- Urban Planning and Valuation
- Nerve injury and regeneration
- Corrosion Behavior and Inhibition
- Interactive and Immersive Displays
- Cultural Heritage Materials Analysis
- Optimization and Variational Analysis
- Personal Information Management and User Behavior
- Multimedia Communication and Technology
- Conservation Techniques and Studies
École Polytechnique Fédérale de Lausanne
2019-2023
University of Trento
2013
University of Florence
2009
Axon regeneration can be induced across anatomically complete spinal cord injury (SCI), but robust functional restoration has been elusive. Whether restoring neurological functions requires directed of axons from specific neuronal subpopulations to their natural target regions remains unclear. To address this question, we applied projection-specific and comparative single-nucleus RNA sequencing identify that restore walking after incomplete SCI. We show chemoattracting guiding the transected...
Providing a common place for the civil society to gather and discuss topics of mutual interest is growing challenge social collaborative computing. Web-based tools civic engagement, while promising, are still disconnected from meaningful physical locations where citizens usually meet might limit involvement considerable portion citizen population. We propose system, Agora2.0, designed recover useful function that public places have had in past promoting regulating citizens' participation...
We present a machine-learning method to prioritize the cell types most responsive biological perturbations within high-dimensional single-cell data. validate our method, Augur ( https://github.com/neurorestore/Augur ), on compendium of RNA-seq, chromatin accessibility, and imaging transcriptomics datasets. apply expose neural circuits that enable walking after paralysis in response spinal cord neurostimulation.
In this thesis three solution approaches for multiobjective nonlinear optimization problems are discussed. First, a class of descent algorithms is introduced that can be understood as generalizations known the singleobjective case. Several variants investigated and compared with weighted sum method. Furthermore, convex quadratic linear constraints discussed in second part. Using KKT conditions parametric complementarity problem derived which leads to definition efficient complementary...