Ashwini User

Led scientific and technical strategy for the Patient360 analytics platform, integrating clinical, genomic, biomarker, and real-world data across seven oncology indications. Developed scalable R and Python workflows for biomarker harmonization, patient stratification, and predictive modeling, and served as scientific liaison for global pharmaceutical partnerships.

Provided scientific and technical leadership in clinical cancer genomics and precision medicine, developing and maintaining the BALSAMIC pipeline for standardized sequencing analysis. Led UMI-based cfDNA workflows for low-input cancer samples, enabling detection of somatic variants at ~0.5% allele frequency.

Applied computational biology to oncology drug discovery, target identification, and biomarker research using public cancer genomics datasets. Performed gene expression, differential expression, and survival analyses in R to support patient stratification and translational insights.

Developed scalable bioinformatics workflows integrating Bulk RNA-seq, ChIP-seq, and ATAC-seq data for multi-omics and systems biology research. Designed and developed NEArender and EviNet for pathway enrichment and network modeling, and collaborated on identifying gene regulatory networks in embryonic brain development.

Built scalable bioinformatics pipelines for RNA-seq and ChIP-seq analysis and benchmarked differential expression methods. Developed interactive R Shiny applications and the miRCode web platform, and established reproducible workflows using Snakemake and version control.

PhD in Computational Biology and Medical Sciences from Karolinska Institutet, focusing on multi-omics and systems biology research.

MSc in Bioinformatics and Systems Biology from Chalmers University of Technology.

Bachelor of Engineering in Bioinformatics from Vinayaka Mission University.