Select the right technologies. Generate the right data. Answer your research questions.

Objectives

Omics, a term derived from fields like genomics, transcriptomics, proteomics, and metabolomics, refers to comprehensive studies of biological molecules within a system. It encompasses high-throughput techniques to analyze large sets of biological data, unveiling insights into complex biological processes.

I offer expertise in every aspect of your omics project, including data generation, processing, and analysis. This entails guidance on experimental design, selection of appropriate omics technologies, and optimizing protocols for data collection. Additionally, I help you navigate the analysis — from quality control and normalization through statistical testing and biological interpretation — so you get clear, actionable results.

What I Can Help With

• Experimental design: Statistical power analysis, sample sizing, and batch design to maximize the value of your data.
• Technology selection: Guidance on the right omics platform (bulk vs. single-cell, short-read vs. long-read, spatial) for your research question and budget.
• Data processing: Raw data QC, alignment, quantification, and normalization using best-practice pipelines.
• Downstream analysis: Differential expression, pathway enrichment, cell type annotation, trajectory analysis, and integration of multi-modal datasets.

Highlighted technologies

Single cell RNA-seq, Spatial transcriptomics.