Peter Lind (Assistant Professor, Group leader)
peter.lind@umu.se
My current research is focused on predicting evolution on different biological levels. We use modelling and bioinformatics to make predictions that can then be tested by experimental evolution in the lab. I did my PhD with Dan Andersson at Uppsala University studying mutational biases and the fitness effects of mutations and horizontal gene transfer. Then I did a postdoc with Paul Rainey, Massey University, working on the diversity of genetic and phenotypic experimental evolution. I am now an Assistant Professor at the Department of Molecular Biology at Umeå University, where I lead a diverse group of talented researchers with aim of developing the field of evolutionary forecasting.
Jennifer Pentz (Postdoc)
jennifer.pentz@umu.se
I am an evolutionary biologist who did my PhD in Biology on the transition from uni- to multicellularity with Will Ratcliff at Georgia Tech (Will Ratcliff). During my postdoc in Umeå I have shown that the wrinkly spreader experimental evolution model can be extended to several different Pseudomonas species. Recently my research has also focused on predicting the evolution of multidrug resistance in P. aeruginosa.
Anthony Sun (Postdoc)
yashraj.chavhan@umu.se
I am a theoretical ecologist with a background in pharmacy and I am broadly interested in the mathematical modelling of eco-evolutionary processes, based on biologically realistic assumptions, using differential or difference equations and numerical simulations. After studies in France, I did my PhD in Germany on social-ecological models of eutrophication in shallow freshwater lakes with Frank Hilker at Osnabrück University. I used ODEs and evolutionary game theory. As I wanted to turn more toward evolution, I have joined Peter Lind’s lab to work on predicting the evolution of antibiotics resistance.
Yashraj Chavhan (Postdoc)
yashraj.chavhan@umu.se
During my doctoral studies at IISER Pune, I used a combination of experimental evolution and agent-based models to understand how population size shapes adaptation and trade-offs in asexual systems. At Umeå University, I am currently attempting to develop approaches to forecast the evolution of antibiotic resistance in pathogenic bacteria by determining mutational biases across diverse resistance mechanisms and mapping them to the direct and collateral fitness effects of mutations.
Aparna Biswas (PhD student)
aparna.biswas@umu.se
I am a medical doctor with master’s degrees in biotechnology and molecular biology. My PhD thesis is focused on predicting experimental evolution of biofilm mutants for different Pseudomonas aeruginosa strains. I am also interested in the relevance of mutations found in laboratory experimental evolution for clinical isolates.
Collaborators
Lab photos
The Lind Lab at Umeå University 