Alexis Coullomb

Research Interests

I currently work on automatically detecting cell nuclei in multiplex fluorescent Whole Slide Images with Deep Learning models, using clustering methods to detect cell phenotypes and reconstruct the spatial networks of cells in tumors. I also work on single cell RNA sequencing data analysis applied to various types of cancers and immune cells screening.

Professional Career

Dec 2019 – Present: Postdoc at team NetB(IO)², Centre de Recherche en Cancérologie de Toulouse, UMR 1037 INSERM, Université Paul Sabatier III, Toulouse, France
2016 -2017: Teacher at the University Grenoble Alpes, France


Coullomb, A., Bidan, C.M., Qian, C., Wehnekamp, F., Oddou, C., Albiges-Rizo, C., Lamb, D.C. and Dupont, A., 2020. QuanTI-FRET: a framework for quantitative FRET measurements in living cells. Scientific reports, 10(1), pp.1-11. 

Bidan, C.M., Fratzl, M., Coullomb, A., Moreau, P., Lombard, A.H., Wang, I., Balland, M., Boudou, T., Dempsey, N.M., Devillers, T. and Dupont, A., 2018. Magneto-active substrates for local mechanical stimulation of living cells. Scientific reports, 8(1), pp.1-13.

Research Area

2018–2019 Msc in Machine Learning, University Lyon 2
2015–2018 PhD in BioPhysics, University Grenoble Alpes
2014–2015 MSc in BioPhysics, Universities Paris Diderot & Paris Sud