Monday, 23 February 2015

Back from the back burner

During my postdoc at the Niels Bohr Institute i started working on a manuscript about asymmetric mutations rates and its implications for the fitness landscape methaphor. I was never able to tie that paper together and it has been lying around for almost 5 years collecting dust. Recently I told Dan Nichol about my unfinished work, and after having read the draft asked me why I never tried to communicate the results. I didn't really have a good answer, so instead I sat down and cleaned up the draft and turned it into something readable.

I'm not quite sure it reaches publication standards so for the moment I've uploaded it to bioarxiv.org. If you have any suggestions for where it can be submitted please let me know.

Directional variation in evolution: consequences for the fitness landscape metaphor.

Monday, 19 January 2015

Measuring frequency dependent fitness

In a recent blog post at theEGG me and Philipp Altrock argued for caution when applying game theoretic models to cancer. One of our concerns was the difficulty of measuring selective advantage, which is not constant, but changes with the frequency of the genotype. This problem has been partially addressed in a new paper by Ribeck & Lenski. I have one reservation though: they only consider frequency dependence in one of two competing clones, which means that their approach cannot be applied to a general two-player game which has two free parameters. Also as a mathematician I would like to see a more rigorous comparison between the Monod model for cross-feeding and the proposed model for frequency dependence, but this paper is at least showing us the way forward.


Monday, 5 January 2015

PhD-position in applied mathematics

A successful application to the Swedish Research Council (www.vr.se) has made it possible for me to recruit a PhD-student. A link to the application can be found here, and here's more information about the position. Deadline is 15th February. Spread the word!

Monday, 1 December 2014

Is cancer really a game?

In response to a recent debate on Twitter, I have, together with Philipp Altrock, written a longer (i.e. more than 140 characters) piece on the limitations of evolutionary game theory as a tool to model cancer. It appears in the form of a guest post on TheEGG, a blog run by Artem Kaznatcheev.

Here's a link: Is cancer really a game?

Wednesday, 22 October 2014

4th IMO workshop on viruses in cancer

The 4th workshop on Intergrative Mathematical Oncology is being held at Moffitt Cancer Center in November. I attended the event last year and must say that it was a great experience (in part maybe because our team won it). A lot of hard work (forcing mathematicians, experimentalist and clinicians to find a common language), and late nights, but in the end it was definitely worth it. The project that secured out victory last year is still very much active and a publication is planned early next year.

Friday, 17 October 2014

Chalmers magasin

The latest issue of Chalmers magasin (aimed mainly at alumni of the university) features an interview with me. The main focus is the use of mathematics to aid cancer research.

Here's a link to the online version: http://chalmeriana.lib.chalmers.se/chalmersmagasin/cm14_3/

Wednesday, 24 September 2014

Anything goes

I have never received any formal training in the scientific method. This might sound a bit surprising given that I make a living as a scientist. Instead I have picked up bits and pieces ever since my undergraduate training in physics and throughout my scientific career. This intensified during the research that I did for a textbook on scientific modelling (currently only in Swedish, but an English version is under way), and I read extensively about the scientific revolution, empiricism, logical positivism and Thomas Kuhn's ideas on paradigm shifts.

My latest foray into philosophy of science is the book/extended essay Against Method by Paul Feyerabend. It was first published in 1975 and has ever since been both celebrated and strongly disliked by philosophers and scientists alike (but for different reasons that I will get back to). The main thesis is that there is no coherent scientific method and never has been. Instead Feyerabend proposes theoretical anarchy in which anything goes. For example he shows that introduction of hypotheses that contradict established theories is sometimes a sensible way forward, a move that would be strongly disliked by any philosopher of rationalist creed. He delves specifically into the Copernican revolution and suggests that Galileo used a great deal of propaganda and smoke and mirrors to expound the heliocentric world-view. For example telescopic observations, which are often cited as supporting evidence, were at the time highly speculative and required the development of auxiliary sciences (e.g. optics and meteorology) before they could be considered as solid evidence. Also, the Copernican model of the solar system was no better at explaining empirical observations than was the prevailing Ptolemaic model. Despite this (and hence in contradiction to reason) the Copernican world-view gained followers and was later supported by numerous independent evidence.

I find Feyerabends account quite convincing and also supported by my own experience of 'doing science'. Most of the models, theories and hypothesis investigated in the field of mathematical biology wouldn't stand much of a chance if they were exposed to the rigour of proper science (i.e. as defined by philosopher of science). In many cases the models aren't even falsifiable since their connection to actual phenomena is at best vague. Not to speak of the field of Artificial Life where models aren't even aimed at resembling any real phenomena. Rather they serve as means to aid and guide our feeble thinking. Much of my own work (devising and analysing mathematical models) has the goal of connecting with biology, not right now, but at some point in the future. But this doesn't render the research useless. It is speculative (in relation to existing knowledge, the models themselves are logically consistent), but it is heading somewhere.

This resonates with another conclusions drawn by Feyerabend, which is that the transition from one theory to the next entails a decrease in empirical content. We take a step back, speculate, and slowly approach the empirical facts and observations. My feeling is that mathematical (cancer) biology is in precisely this situation: we are exploring new concepts and ideas (i.e. developing or extending our ontology). And to me this makes perfect sense, and is something that should be encouraged.

My feeling is that philosophers of science dislike this book because it essentially makes them unemployed. If anything goes then there's no point devising or even describing a scientific method. Let the scientists have a go at it. Let anarchy rule. The cool reception from  scientists I think has less to do with methodological anarchy (which most of us are quite familiar with) but rather with the perceived anti-scientism that Feyerabend has been accused of. If science does not rely on a specific method (not even reason or adherence to empirical fact) then it should be viewed as any other human activity such as religion or the arts. This is were many scientists (including me) start getting a bit uncomfortable. What I think he is trying to say is that there are many facets to human life and that science cannot and never will provide the full picture. There are always other views/stories/perspectives that inform us about the human condition.

EDIT: I think this quote by physisct Max Born sums up Feyerabend's thesis in a nice way:

"I believe there is no philosophical high-road in science, with epistemological signposts. No, we are in a jungle and find our way by trial and error, building our road behind us as we proceed."