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Core Bioinformatics group


MSc Complex Adaptive Systems (2019)


In 2019 I finished my master’s studies at Chalmers University of Technology, in Gothenburg, Sweden, with a thesis on single-cell RNA-seq clustering and bulk RNA-seq deconvolution. Since joining the Cambridge Stem Cell Institute, I’ve worked on differential expression and alternative splicing analyses of bulk mRNA-seq as well as clustering, pseudotime and RNA velocity analyses of single-cell RNA-seq. Other assays I’ve worked with include ChIP-seq, ATAC-seq and CUT&Tag. Currently I am developing tools for better assessing single-cell clustering results.

I enjoy carefully analyzing the appropriateness, scalability and interpretability of statistical models as applied to biological datasets. At the Institute, I value the opportunity to closely collaborate with biologists working on important problems, and to develop novel tools for exploring biological heterogeneity.


Key publications: 
Williams*, E. C., Chazarra-Gil*, R., Shahsavari*, A., & Mohorianu, I. (2021). The sum of two halves may be different from the whole. Effects of splitting sequencing samples across lanes. bioRxiv.

Contact Details

as3006 at
Available for consultancy
The truth is rarely pure and never simple. Oscar Wilde, The Importance of Being Earnest