CV

Education

• B.S. in Mathematical Engineering, Politecnico di Milano, Milan, Italy 2014
• M.S. in Computer Science (Bioinformatics), TU Delft, Delft, The Netherlands 2016
• Ph.D in Statistical Genetics, The University of Cambridge, Cambridge, UK 2020

Work experience

• December 2021-present: Postdoctoral researcher
  • Garvan Institute of Medical Research, Sydney, Australia
  • Supervisor: Prof. Joseph Powell, Prof. Daniel MacArthur (joint)
• 2020-2021: Postdoctoral researcher
  • Wellcome Sanger Institute, Cambridge, UK
  • Supervisor: Prof. Nicole Soranzo, Dr. Oliver Stegle (joint)
• 2016-2020: PhD Fellow
  • EMBL-EBI & Cambridge University, Cambridge, UK
  • Thesis: Using single-cell RNA-seq to assess the effect of common genetic variants on gene expression during development
  • Supervisor: Dr. Oliver Stegle, Dr. John Marioni (joint)

Publications

Single-cell RNA-sequencing of differentiating iPS cells reveals dynamic genetic effects on gene expression

Cuomo ASE*, Seaton DD*, McCarthy DJ* et al. (2020). Nature Communications. 11, 810.

Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation

Jerber J*, Seaton DD*, Cuomo ASE* et al (2021). "Population-scale single-cell RNA-seq profiling across dopaminergic neuron differentiation." Nature Genetics. 53, 304-312.

Single-cell meta-analysis of SARS-CoV-2 entry genes across tissues and demographics

Muus C et al. (2021). Nature Medicine. 27, 546–559.

Computational principles and challenges in single-cell data integration

Argelaguet R, Cuomo ASE, Stegle O and Marioni JC (2021). "Computational principles and challenges in single-cell data integration." Nature Biotechnology. 39, 1202-1215.

Optimizing expression quantitative trait locus mapping workflows for single-cell studies

Cuomo ASE*, Alvari G*, Azodi CB* et al. (2021). "Optimizing expression quantitative trait locus mapping workflows for single-cell studies." Genome Biology. 22, 188

CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq

Cuomo ASE*, Heinen T* et al. (2022). "CellRegMap: A statistical framework for mapping context-specific regulatory variants using scRNA-seq." Molecular Systems Biology. 18:e10663

Single-cell genomics meets human genetics

Cuomo ASE, Nathan A, Raychaudhuri S, MacArthur DG and Powell JE (2023). "Single-cell genomics meets human genetics." Nature Reviews Genetics.

Integrating population genetics, stem cell biology and cellular genomics to study complex human diseases

Farbehi N, Neavin DR, Cuomo ASE, Studer L, MacArthur DG and Powell JE (2024). "Integrating population genetics, stem cell biology and cellular genomics to study complex human diseases." Nature Genetics.