Experience Career Journey
- Lead and manage bioinformatics products to keep genomic, transcriptomic, and omics analysis platforms reliable, efficient, and scalable.
- Guide and mentor bioinformaticians, fostering collaboration and innovation.
- Consult with researchers and external collaborators to align platforms with bioinformatics needs.
- Oversee quality assurance and documentation to ensure analysis accuracy and reproducibility.
- Shaped company strategy for genomics data and sequencing assays as member of executive leadership.
- Directed in-silico target discovery and validation, integrating NGS technologies with advanced visualizations.
- Built an RNA structure and RNA–protein interaction AI engine using SHAPE-Seq and eCLIP-Seq data.
- Managed cloud infrastructure to ensure reproducibility and scalability.
- Led R&D pipelines and visualization platforms for multi-omics data.
- Applied machine learning to understand population stratification in pre-clinical studies.
- Built cloud bioinformatics infrastructure for reproducibility and scale.
- Managed internal NGS teams using Oxford Nanopore and Illumina platforms.
- Researched epigenetic marks to improve transgene expression with machine learning.
- Built QA/QC genomic platforms and multi-omics pipelines.
- Led bioinformatics for a cross-organ fibrosis collaboration with Boehringer Ingelheim.
- Developed scalable, reproducible platforms for NGS data (small RNA-seq, RNA-seq, ChIP-seq, WGS).
- Built tools for NGS analysis (small RNA-seq, scRNA-seq, ChIP-seq, WGS) in bcbio-nextgen and Bioconductor.
- Developed visualization and integration of multi-omics data.
- Identified de novo transcripts associated with inversions in the HapMap population.
- Performed expression quantitative trait loci analyses of inversions.
- Characterized small RNAs in human sperm samples.