MSc Complex Adaptive Systems (2019)
Biography
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.