Tiago Nardi

Tiago Nardi is a bioinformatician and computational genomicist, specialized in genome assembly and in the development of robust, reproducible workflows. He works at the intersection of algorithms, biology and good spicy food — an unusual mix, but a surprisingly effective one. With an analytical approach that is both rigorous and remarkably creative, he turns complex datasets into understandable results, elegant visualizations and pipelines that keep working even when they theoretically shouldn’t.

From structural genomics to multi-omics analyses, Tiago develops bioinformatic tools, optimizes scripts, manages complex data flows and supports research groups in interpreting their results. He is the person everyone turns to when they need a difficult assembly, an “impossible” analysis, or simply someone capable of telling at a glance whether something is a bug or a feature (“sometimes they’re the same thing,” he would say).

His work blends technical precision and creativity: he can turn intricate datasets into clear models and refined visualizations thanks to a systematic approach that spans from code writing to careful quality control of the final output. Those who work with him know that the depth of his explanations is directly proportional to the complexity of the problem: Tiago is brilliant, competent and sometimes… very dense. But if you pause for a moment, the elegant logic behind his reasoning — and his way of looking at data — becomes clear.

He remains faithful to a set of constants from his unofficial biography: a fondness for spices like ras el hanout, harissa and gochujang (excellent indicators of his whereabouts during lunch breaks), a documented attraction to coffee and mate, and an unexpected ability to “fly” over rivers on a bicycle. He doesn’t have wings — at least not literally — but he certainly has his own way of approaching problems “from above”, a quality that turns out to be extremely useful in research as well.

When he isn’t immersed in sequences, pipelines or questionably sized datasets, he is likely discussing improbable taxonomies, the names of new software releases, or the latest cat (or capybara) picture deserving of scientific attention. In any case, he’s hard to miss: Tiago brings with him a mix of technical expertise, curiosity and humor that makes the lab a brighter place — and definitely a spicier one.