Contextualizing biomolecular circuit models for synthetic biology
In this talk, I will provide an overview of different context effects and our formal attempts to accommodate some of them in computational models. In particular, we derive a stand-alone equivalent model of a circuit that behave as if the circuit is still embedded in the host cell. Such contextualized models also lead to new calibration algorithms on which I will briefly touch upon.
BiographyHeinz got his MSc in physics and his PhD in electrical engineering from Graz University of Technology, Austria. After postdoc positions at UC Berkeley and EPFL, he was appointed at ETH Zurich as an assistant professorship in 2010. In 2013 he additionally led the systems biology efforts at IBM Research Zurich. Since 2014, Heinz is full professor at the department of electrical engineering and at the department of biology of Technische Universitat Darmstadt, Germany. He received the Schrodinger fellowship (2005), the SNF professorship (2009), the IBM faculty award (2014) and an ERC consolidator grant (2017).
He is interested in probabilistic models for biomolecular circuits and their inference using single-cell measurements.