Nadir Sella

Neurodevelopment and Cancer

“Institut Roche gives the possibility to perform research in a very stimulating environment, rich of projects and collaborations with the most important actors worldwide.”

Your role at Institut Roche and brief presentation of your professional background:

I joined Institut Roche in 2021 as a post-doc. My role consists in performing different types of statistical and machine learning analyses to generate new knowledge in the medical field. I obtained my PhD in 2019 working on a novel method to reconstruct networks from different types of data and applying the algorithm to biological and cancer datasets. My research interests involve statistical analysis, machine learning and data science.

My Focus at Institut Roche:

I focus on the analysis of multiple data modalities and clinical scales in the neurodevelopment area.

  1. Sella et al. (2022). “Interactive exploration of a global clinical network from a large breast cancer cohort.” Npj Digital Medicine
  2. Desterke, C., et al. (2020). “Inferring Gene Networks in Bone Marrow Hematopoietic Stem Cell-Supporting Stromal Niche Populations.” iScience 23(6): 101222.
  3. Sella, N., et al. (2018). “MIIC online: a web server to reconstruct causal or non-causal networks from non-perturbative data.” Bioinformatics 34(13): 2311- 2313.
  4. Verny, L., et al. (2017). “Learning causal networks with latent variables from multivariate information in genomic data.” PLoS Comput Biol 13(10): e1005662.
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