Assistant Professor of Systems Biology
Faculty Assistant: Alicia Williams
The complexity and heterogeneity of biological systems are formidable obstacles that must be overcome for achieving a more quantitative and predictive understanding of physiology and phenotypes on the cellular or organism scale. Such a level of understanding has remained largely elusive in biology, despite the extraordinary level of detail to which molecular interactions have been characterized over the past decades, as it often remains unclear how to harness detailed molecular knowledge to achieve this goal.
In our lab, we try to tackle these challenges by identifying phenotypic patterns that can guide us in decoding the underlying molecular mechanisms and principles, which govern the behavior of complex biological systems. Our approach relies on the close coordination and mutual feedback between experimental and theoretical efforts and we combine careful characterization of physiology, genetic perturbations, omics technology and theoretical models.
Fundamental biological questions that we are interested in include the role of metabolic strategies during growth and adaptation, tradeoffs between competing evolutionary objectives of microorganisms and how cells achieve homeostasis of cell size, cell number and cellular composition, as well as the breakdown of these mechanisms in disease. We use the well-characterized model organismsEscherichia coli and Drosophila melanogaster to address such questions.
Postdoctoral Positions in Quantitative Microbiology
Our quantitative biology lab is currently starting up in the Department of Systems Biology at Harvard Medical School. We have several positions available for post-docs. In particular, we are searching for experimentalists with a strong background in microbiology, molecular cloning, genome editing or microscopy. While the approach of our lab relies on close coordination and mutual feedback between experiment and theory, no experience with theoretical or computational tools is required. We are looking for someone with an interest in quantitative methods and excitement about learning and collaborating; training in a variety of methods is available.
Click here for more information about the available positions.
Please contact Markus Basan, firstname.lastname@example.org, to apply.