The sections that I attended were really interesting. First of all I would like to mention Igor Zhulin’s presentation. I am confident that it is of great interest to develop mathematical models of chemotaxis (and he did not speak of any). Pavel Pevzner as usual was quite artistic. I did not quite grasp the ideas that Michael Lassig tried to convey, in line with my whole non-understanding of many things physics people are trying to do in biology. I was not quite convinced by Georgii Bazykin that his method of identifying natural selection has any advantages compare to the classical tests, but maybe I missed something.
CV and more
- Abstract nonsence Applied mathematics biology Biology Direct Career chaos Complexity Complex Networks conferences Coursera CRISP-Cas system Delta-function Differential equations diversity dynamical systems Epidemics on networks Error threshold Evolution Evolutionary game theory evolution of altruism Facts genetic code h-index heterogeneous models Heterogeneous populations HGT High energy physics History Human evolution Humor ID interview jobs journals kin selection Lamarckian evolution Lecture Notes lytdybr Math 266: Intro to ODE Math 483: PDE Math 484: Math in Biology Math 760: ODE I Math 767: Mathematics of Networks Math and Bio Math Club Mathematica mathematical epidemiology MFET2010 money Natural selection NDSU open access PDE Peer review Perelman permanence Population genetics Postdoc position Presentations Protein folding publishing publish or perish quasispecies random graphs Reading books Replicator equation Social choice spatial solutions Statistical physics Statistics does not lie teaching textbook tree of life University video courses