Systems, Synthetic, and Computational Bioengineering

Research groups in systems, synthetic, and computational bioengineering apply engineering principles to model and understand complex biological systems, including differentiation and development, pathogenesis and cancer, and learning and behavior. This involves designing and implementing methods for procuring quantitative and sometimes very large data sets, as well as developing theoretical models and computational tools for interpreting these data.

Deciphering the workings of a biological system allows us to identify potential biomarkers and drug targets, to develop protocols for personalized medicine, and more. In addition, we use the design principles of biological systems we discover to engineer and refine new synthetic biological systems for clinical, agricultural, environmental, and energy applications.

Primary faculty contacts

	Erel Levine Associate Professor Statistical and machine learning approaches to biological data; Gut-brain-microbe interactions; multi-cellular synthetic biology
	Herbert Levine University Distinguished Professor Theoretical approaches to the functional behavior of living systems. Cell signaling and cell motility. Cancer metastasis and the cancer-immune interaction. Drug resistance and epigenetics.
	Elizabeth Libby Assistant Professor Synthetic biology, protein engineering, microbiology, and cell signaling
	Mingyang Lu Assistant Professor Computational systems biology, gene regulatory networks, single cell genomics
	Mona Minkara Assistant Professor Computational prediction of molecular interactions at biological interfaces
	Nikolai Slavov Associate Professor Single-cell proteomics and analysis, cell signaling, systems biology
	Eduardo Sontag University Distinguished Professor Feedback control theory, systems biology, cancer, and biomedicine