Faculty

Marc W. Kirschner
John Franklin Enders University Professor
Chair, Department of Systems Biology
The Kirschner lab studies spatial organization and temporal control in several different biological contexts, including the cell cycle, the cytoskeleton, and embryonic development. This has led to an interest in several important signaling pathways, notably the Wnt pathway, and in the role of post-translational modification of proteins.
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Markus Basan
Assistant Professor of Systems Biology
The Basan lab seeks a more quantitative and predictive understanding of physiology on the cellular and organism scale.  Current questions include the role of metabolic strategies during growth and adaptation and how homeostasis of cell size, number and composition is achieved.

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Angela DePace
Associate Professor of Systems Biology
The DePace lab aims to understand how regulatory DNA dictates transcriptional network behavior and, ultimately, organismal phenotype and evolution. We believe that understanding the molecular mechanisms that drive transcription will lead to models of gene regulation that can predict the functional consequences of regulatory sequence changes.

 

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Walter Fontana imageWalter Fontana
Professor of Systems Biology
The Fontana lab spans experimental and theoretical approaches in a desire to address fundamental problems in systems biology:  the integration of information (molecular information processing); the disintegration of information (aging);  and the evolution of information (evolvability).

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Jeremy GunawardenaJeremy Gunawardena
Associate Professor of Systems Biology
The Gunawardena lab studies information processing in mammalian cells using a combination of experimental, theoretical and computational approaches.

 

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John HigginsJohn Higgins
Associate Professor of Systems Biology
The Higgins lab studies the dynamics of human pathophysiologic processes by developing mathematical descriptions of complex human disease phenotypes and how they change over time. The research combines medical insight, dynamic systems theory, and experiments, and aims to improve patient diagnosis, monitoring and treatment.

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Sahand HormozSahand Hormoz
Assistant Professor – Coming Soon!
The Hormoz lab aims to understand the dynamics of cellular state transitions and fate decisions during development and in cancer. We use engineering of synthetic gene circuits, single-molecule imaging and single-cell analysis to study embryonic stem cells and other systems. We also develop new mathematical frameworks and theoretical tools to gain insight into stochastic processes and collective phenomena.

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Allon Klein imageAllon Klein
Assistant Professor of Systems Biology
The Klein lab studies the behaviors and properties of cellular systems that underlie the ability of metazoan cells to self-organize into tissues, allowing tissues to achieve the correct size and function, and persist and regenerate over decades of adult life.

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Galit LahavGalit Lahav
Professor of Systems Biology
The Lahav lab studies the temporal dynamics of biological signals, especially in the signaling network of the tumor suppressor p53, by combining quantitative live imaging of single human cells with mathematical modeling.  Our goal is to determine how signaling dynamics affect cell behavior and cell fate decisions.

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Eric LanderEric S. Lander
Professor of Systems Biology
The Lander lab, together with others at the Broad Institute, is taking a multidisciplinary approach to a range of problems including sequencing and analyzing the genomes of mammalian and microbial species, deciphering the regulatory code that controls gene expression, identifying the connectivity of cell circuits, and producing validated RNAi inhibitors for all human and mouse genes.
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Ying LuYing Lu
Assistant Professor of Systems Biology

Protein degradation, like transcription and translation, is  highly precise and efficient. My lab aims to understand how accurate control of protein degradation is achieved and how failures of control contribute to neurodegeneration and aging.  We use single-molecule techniques, cryo-EM and MD simulations to study how the proteasome decodes ubiquitin chain configurations.
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Debora MarksDebora Marks
Assistant Professor of Systems Biology
The Marks lab develops computational approaches to make sense of evolutionary variation.  Interactions among residues of proteins, RNAs and complexes revealed by evolutionary co-variation can be used to predict structures, even of apparently disordered proteins, and evaluate functional outcomes of mutations.

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Sean MegasonSean Megason
Associate Professor of Systems Biology
The Megason Lab uses imaging-based systems biology to elucidate systems level principles of animal development. We are particularly interested in long-standing problems in embryology whose understanding has defied molecular reduction: patterning, morphogenesis, and size control. We pursue these questions in the inner ear and spinal cord of zebrafish.

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Tim MitchisonTimothy J. Mitchison
Hasib Sabbagh Professor of Systems Biology
The Mitchison lab works on fundamental questions of how cells are spatially organized, and on applied problems in pharmacology and drug development.  The self-organizing abilities of microtubules are a core interest; explaining the widely varying effects of drugs that target microtubules is another. 

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Vamsi MoothaVamsi Mootha
Professor of Systems Biology
The Mootha lab uses genomics, computation and biochemistry to investigate mitochondrial function in health and disease. We focus primarily on mitochondrial physiology and rare, monogenic diseases of mitochondrial dysfunction. Insights from these studies will inform our understanding of common diseases such as diabetes.

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Johan PaulssonJohan Paulsson
Professor of Systems Biology
The Paulsson lab investigates the role of chance in biological behavior.  Many reactions in cells rely on molecules that are present in few copies, so that even small fluctuations of molecular numbers can have large, often counterintuitive, effects.   We develop mathematical methods to interpret fluctuations, experimental methods to count molecules in single cells, and study both natural and engineered networks.
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Photo of Jagesh ShahJagesh V. Shah
Associate Professor of Systems Biology
The Shah lab is interested in how cells make measurements. Much like engineered devices, cells make measurements with exquisite precision in an environment of poor signal to noise. To understand these biological principles, we are examining both intracellular and extracellular measurement systems.

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Pamela SilverPamela A. Silver
Elliot T. and Onie H. Adams Professor of Biochemistry and Systems Biology
The Silver Lab seeks to enhance our understanding of natural biological design, and to develop tools and concepts for designing cells, tissues and organisms.  We develop synthetic cells that act as sensors, memory devices, bio-computers, producers of high value commodities and energy from the sun. We build novel subsystems such as protein controllers with designed properties for therapeutic use. 

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Peter Sorger
Otto Krayer Professor of Systems Biology
The Sorger lab uses experimental and computational methods to construct data-driven, systems-wide models of cellular function that contain detailed mechanistic information on the activities of individual proteins.  In the Laboratory for Systems Pharmacology (LSP) we are developing a pharmacological approach in which disease and therapy are viewed through the prism of quantitative numerical models.
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Michael SpringerMichael Springer
Associate Professor of Systems Biology
The Springer lab aims to uncover principles of the evolution of phenotypic variation by studying quantitative variation in pathways involved in signaling and metabolism in yeast. A second theme in the lab is discovering constraints on the evolution of metabolism due to trade-offs between goals such as efficiency and flexibility.

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Ralph WeisslederRalph Weissleder
Professor of Systems Biology
The Weissleder lab combines chemistry, imaging, mathematics and engineering to gain insight into human biology in health and disease, develop novel diagnostic tools, and identify new therapeutic targets.  Our lab environment encourages interaction and collaboration between clinicians and scientists of varied backgrounds and interests.

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Peng YinPeng Yin
Professor of Systems Biology
The Yin lab engineers programmable molecular systems inspired by biology. We currently focus on engineering information-directed self-assembly of nucleic acid (DNA/RNA) structures and devices, and on exploiting such systems in applications such as imaging, sensing, diagnostics and therapeutics.

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