I will analyze genetic data and build biology models

What I can help with: genetic/genomic data analysis (expression data, SNP data, microbiome data) exploratory analysis through to statistical findings; nonlinear mixed-effects (NLME) modeling for pharmacokinetic/pharmacodynamic data; survival and time-to-event analysis for clinical or research data; virtual patient population simulation for trial design and sample-size optimization; clear methodology write-ups suitable for research documentation, thesis defense, or internal decision-making.

About me

Specialist bridging computational biology and pharmacometrics a combination most general data scientists and most bioinformaticians don't have on their own.

Background: Master's in Applied Mathematics with a Bioinformatics & Systems Biology specialization (NGS coursework scRNA-seq, RNA-seq, SNP calling, ChIP-seq), plus production experience building pharmacokinetic/pharmacodynamic (PK/PD) models in pharma R&D. 2 peer-reviewed publications on genetic and microbiome predictors in cardiovascular disease.

Send your data and research question, and I'll propose the right approach before starting.