Jiří Moravec is a bioinformatician and data scientist with 11 years’ experience applying statistical and computational methods to biological, clinical and cultural data. He combines classical statistics and modern Bayesian modelling (STAN) with practical software development in R, Python, Java and C to tackle p >> n problems and multi-omic phylogenetic reconstruction of tumours. His work spans hands‑on lab experience, de novo genome/transcriptome assembly and method development for detecting horizontal gene transfer, reflecting a rare blend of wet‑lab insight and computational rigor. As a lecturer and postdoc he has translated complex methods into teachable material and production-ready packages, delivering feasible improvements to cancer reporting. Based in Christchurch, New Zealand, he thrives in interdisciplinary teams—collaborating with biologists, anthropologists and clinicians—to turn noisy, high‑dimensional data into interpretable results.
11 years of coding experience
Master, Computational Biology, Master, Computational Biology at Masaryk University Brno
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Massey University
Contributions:12 commits, 15 pushes, 1 branch in 1 year 6 months
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