

To meet these challenging modeling demands, Loewe initiated the development of Evolvix, a modeling language he is designing to simplify mathematically accurate descriptions of concurrent systems that change over time. He defined a framework for mechanistic evolutionary systems biology, which facilitates exploring mechanistic fitness landscapes by the versatile composition and analysis of complex biological simulation models.
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Thus, Loewe investigates how to analyze molecular systems biology models from a population genetics view. This inspired the PI to estimate the strength of selection in population genetics models from DNA sequence analyses and mutation accumulation experiments, approaches that struggle to quantify many types of mutational effects. The Loewe Lab aims to improve the quality of diverse biological models by quantifying evolution with increasing precision. Nothing in biology makes sense except when properly quantified in the light of evolution.įrom antibiotics resistance evolution and cancer to species extinction, evolution governs many challenges we face today finding ways forward often requires causal insights from mechanistic models. Postdoc in process algebra modelling and quantitative analysis, focus on molecular systems biology, CSBE, Laboratory for Foundations of Computer Science, University of Edinburgh, UK, 2007-2010.Lecturer in Evolutionary Genetics (sabbatical replacement), University of Edinburgh, UK.Postdoc in theoretical population genetics, University of Edinburgh, UK, 2003-2006.nat., Microbiology, Muller’s ratchet, Technical University of Munich, Germany, 2002. Biology MSc-equiv., focus on molecular aspects, experiments, University of Konstanz, Germany, 1995.Jugend Forscht (similar to US Science Talent Search), extensive, self-directed research on Miller-Urey chemical evolution experiments, supported by several departments from different disciplines at the University of Erlangen, Germany 5 competitions, 1987-1991.Guidelines for Writing Diversity Statement.Historical Issues: Grappling with Our Past.Crow Institute for the Study of Evolution
