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  • Director of Center
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About

Laura Cantini is a G5 junior group leader heading the Machine Learning for Integrative Genomics group. Mathematician by training, Laura works at the interphase of machine learning and genomics. Due to the advent of high-throughput technologies, multiple large-scale quantitative measurements, a.k.a. omics, can be accessed for the same set of biological samples or cells. The focus of Laura’s research activity is to design machine learning methods able to co-analyze the numerous available omics data and translate them into actionable biological knowledge. Laura is a CNRS research associate and a Prairie chair.

Projects

Project
Ongoing
3 Members

ERC StG 2023 : MULTIview-CELL

Laura Cantini (PI)

Integration of single-cell multi-omics data across space and time to unlock cellular trajectories The introduction of high-throughput single-cell sequencing has produced a flood of data at the resolution of the single cell, including spatiotemporal […]
Project
Completed
4 Members

ANR JCJC scMOmix

Laura Cantini (PI)

Single-cell RNA sequencing (scRNAseq) is revolutionizing biology and medicine. The possibility to assess cellular heterogeneity at a previously inaccessible resolution, has profoundly impacted our understanding of development, of the immune system functioning and of […]

CV

Academic positions:

  • From 2023 : G5 junior group leader, Institut Pasteur, Paris
  • From 2021: Chair position, Institut Prairie, Paris
  • 2019: Visiting researcher, MIT CSAIL department, Cambridge, US (head: Manolis Kellis)
  • From 2018: CNRS tenured researcher (Chargé de Recherche)

Awards:

Grants:

Education:
  • 2016-2018: Postdoctoral fellow, Institut Curie, Paris (head: Emmanuel Barillot)
  • 2014-2015: Visiting Ph.D student, Aalto university, Helsinki, Finland (head: Santo Fortunato)
  • 2013-2015: Ph.D student, University of Turin, Italy (head: Michele Caselle, Enzo Medico)

Publications

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