Welcome to my site. My name is Gytis Dudas and I’m a scientist at Vilnius University’s Life Sciences Center (in Lithuania) who works on viruses. My interests very broadly cover the evolution and ecology of (RNA) viruses from the most closely related lineages in an outbreak setting to radical changes viruses undergo over (presumably) geological timescales.

I have worked with SARS-CoV-2, Ebola, MERS-corona-, and Zika viruses on the genomic epidemiology side, studied influenza B, anelloviruses (that one’s DNA!), and various metagenomically discovered viruses through a more evolutionary biology lens, and I’m currently fascinated with the evolution of Orthomyxoviridae on longer timescales. Highly customised data visualisations of phylogenetic trees using baltic, a simple tree parser/visualisation code with plenty of flexibility that I wrote, is one of my signatures.

If you spot the occasional paper that doesn’t look virus-y I’ve probably contributed analyses or data visualisations to it and would be happy to contribute to yours if the problem is interesting and visualisation challenging enough.

Here are a couple of examples of data visualisations I’ve made:

What to expect


In case you missed them on bioRxiv/medRxiv my papers also live here. You’ll see that I’ve split papers that I’ve co-authored into two categories - if I thought a particular paper would not have been the same without my intellectual input it lands under publications regardless of my author position and contributions otherwise. I try my best to make all of my work freely available, from data, to code, to publication, because I stand by the results I publish. If you find bugs in my code I’d be more than happy to fix them.

Behind the scenes

Owing to my inability to say anything between the lines in papers you can find the commentary track to the studies I’ve been involved with here. The published article rarely contains indications of its historical context, the effort that went into producing the first draft, or the changes it underwent during peer review. Since contributions to projects led by other folks are faster and easier to produce than original research the commentary section is bound to outnumber my papers.

Blog posts

Quite possibly the worst mix of thoughts on recent papers, Orthomyxoviridae fandom, unsought thoughts on data-vis, and unsubstantiated opinions on a variety of topics on the internet. I often have strong opinions on matters with little thought going into them, but am also ready and willing to be proven wrong. Occasionally it’s something I do know, and most often it’s stuff no one cares about.


I get it. It was the first session on the third day of the meeting, you weren’t entirely over the jet-lag, slightly hungover and conference hypoxia had fully set in. With the wonders of modern technologies you can rewind time back and look through my talk again.

Outside of science


I’m a cyclist (note the lack of “avid”). Apart from cycling to work I dabble in bicycle touring, which allows me to combine the mind blowing concept of covering large distances with muscle power and exploring Lithuania. The first bike tour through Lithuania I organised was a mixed success. The backbone of my tours is manors and manor estates, many of which have been resurrected recently.

Bad films

I am also a big fan of terrible films. I used to organise bad movie nights during my time in Edinburgh. You can have a look at an analysis of what films my friends and I have shown at bad movie nights here. One of my proudest achievements in Edinburgh has been the discovery of Die Hard Dracula.


As a user of matplotlib I love data visualisation. Data are easy to display, but often difficult to display in a way that is both accurate and is interpreted correctly by the reader. Aesthetics are also often overlooked when designing figures. There might be brave souls out there who can calmly look at magenta comic-sans axis labels, but I’m not one of them.