About

I am a Swedish scientist with a Ph.D. in Medicine (Computational Biology) from the Garvan Institute of Medical Research/UNSW, Sydney, Australia. I did a postdoctoral fellowship in Computational Biology at NYU School of Medicine, and worked as a Senior Computational Biologist at Memorial Sloan Kettering Cancer Center (MSKCC) in New York City.
After moving into industry, I’ve worked as a Bioinformatics Scientist at Inzen Therapeutics. Currently, I am a Bioinformatics Scientist at Inzen Therapeutics.

I am a highly motivated and productive Computational Biologist experienced in next generation sequencing analysis. Through my Ph.D. and postdoc, I have developed analysis pipelines, conducted data and statistical analysis of complex genomic datasets, visualised and successfully communicated the results in multiple peer-reviewed publications and presentations at both national and international conferences. I have effectively and successfully led, managed, and worked in collaborative, multi-national, research teams. I am highly adaptable, a quick learner, and a self-taught coder — all of which have made me successful in analysing the complexity of the genome.

Experienced in:

• RNA-seq, Differential expression, Gene fusion, Alternative splicing, Proteomics, ChIP-seq, DNase-Seq, ATAC-seq, HiC, 3C, CaptureC, DNA-seq, Whole genome sequencing (WGS), Allelic expression/variation, Mutational calling, SNP/SNV calling, Micro-array, Capture-Seq

• Bioinformatics, Cancer genomics, Gene regulation, Immunology, Neurogenomics, Neuroscience, Biomarker discovery, Gene discovery, Noncoding RNA/DNA, Enhancers, Time-series analysis

• R, ggplot2, Unix, Python, Bash, High Performance Computing (HPC), Scripting, Analysis pipelines, Bioconductor, Statistics, Biostatistics, Bayesian statistics, Regression analysis, Machine learning, Generalized linear model (GLM), Data analysis, Data visualisation, Data mining