Brian Cleary
Our group works at the interface of the limits of algorithmic learning and the limits of biological experimentation in pursuit of the organizing principles of molecular, cellular and tissue processes. A central vision of the lab is to study cellular pathways and tissue biology at scales that appear impossible to achieve, but which in fact […]
Mary Dunlop
The Dunlop Lab uses approaches from Synthetic Biology and Systems Biology to quantitatively understand and engineer cellular processes. We are especially interested in how microbes use feedback, and also in engineering novel feedback loops. We use both experimental and theoretical approaches to study these complex biological systems.
Juan Fuxman Bass
Our lab studies the mechanisms controlling the expression of immune genes. Transcriptional regulation plays a fundamental role in proper immune development and homeostasis as well as in mounting immune responses against pathogens. Indeed, mutations in the regulatory regions of immune genes such as cytokines, receptors and signaling molecules have been associated with multiple pathologies including […]
Alexander Green
The Green lab applies the principles of self-assembly to develop new techniques for programming and probing biology. We use in silico tools to design RNA molecules from scratch that respond to stimuli and execute biomolecular programs in living cells. We engineer nucleic acids that sense and amplify molecular cues to develop diagnostic assays that are […]
Miguel Jimenez
The capacity of living cells to continuously monitor and act on their environment with molecular specificity is unmatched by any sensor or actuator developed by humans. We have shown that it is possible to use genetically engineered microorganisms as the sensing and actuation elements in electronic and mechanical devices. These integrated microbial devices outperform traditional […]
Ahmad Khalil
Our laboratory develops novel tools of synthetic and systems biology that allow us to construct regulatory circuits inside living cells that recapitulate complex functions like those seen in nature. We are using our tools to dissect the molecular circuits that control gene regulation in eukaryotes, toward addressing the grand challenge of understanding their organization across scale […]
Kirill Korolev
Kirill Korolev is an Associate Professor of Physics and Bioinformatics at Boston University. After receiving his PhD in theoretical physics from Harvard University in 2010, he spent three years at the Massachusetts Institute of Technology as a Pappalardo Postdoctoral Fellow. Professor Korolev uses mathematical modeling, computation, and statistical analysis of data to understand evolution and population […]
Joseph William Larkin
Throughout evolutionary history, life has explored the laws of physics, creating remarkable new strategies to perpetuate itself. Our group seeks to understand how these strategies arise, using microbial populations as a model. We are interested in how the physical and chemical environment influences microbes, and how these microbes in turn engineer that very environment. In […]
Pankaj Mehta
I am interested in theoretical problems at the interface of statistical physics and biology. I want to understand how large-scale, collective behaviors observed in biological systems emerge from the interaction of many individual molecular elements, and how these interactions allow cells to perform complex computations in response to environmental cues. I am also a part […]
Daniel Segre
We develop theoretical approaches and computational models for the study of complex biological networks. We are especially interested in the dynamics and evolution of metabolism, whose complex web of small-molecule transformations underlies fundamental aspects of biological organization, from energy transduction to cell-cell communication. In addition to helping understand how biological systems function and evolve, we […]