Cambridge, Massachusetts, United States
- Senior Computational Biologist with 5+ years of experience in functional genomics, transcriptomics, and platform development in pharma and academia. - Expert in high-throughput transcriptomic profiling (DRUGseq), pipeline development (Nextflow, containerization), and statistical analysis of multi-omics data. - Skilled in R (Bioconductor, Shiny), Python, and cloud/HPC computing (AWS Certified, Slurm). - Developed widely used bioinformatics tools including the tricycle R package for single-cell cell-cycle inference and EpiDISH for cell-type deconvolution in epigenomics. - Strong publication record with multiple first-author papers in journals such as Nature Methods, Genome Biology, and Bioinformatics. - Passionate about building scalable, reproducible bioinformatics platforms and collaborating across disciplines to accelerate early drug discovery.