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By design, the Computational Biology and Medicine Program is not focused on one area of computational biology. In fact, its faculty have a wide range of research interestsfor example, Biophysics and Structural Biology, Genomics and Bioinformatics, Modeling and Systems Biology, Neuroscience and Cancer Biology. More details on each of these areas can be found on the Areas of Concentration page. Such diversity offers students in the program an excellent array of thesis laboratory opportunities.
Our faculty work in a range of academic departments and computational research institutes, including the Institute for Computational Biomedicine at Weill Cornell and the Computational Biology Center at Sloan Kettering.
Computational Biology & Medicine
| Faculty Member | Research Description |
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Emre Aksay Weill Medical College Temporal integration in neural systems |
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Gregoire Altan-Bonnet Memorial Sloan-Kettering Cancer Center Control of T-cell ligand discrimination by the dynamics of their signaling response |
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Olaf Andersen Weill Medical College Molecular mechanisms governing the function of membrane-spanning ion permeable channels |
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Douglas Ballon Weill Medical College Imaging |
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Zhirong Bao Memorial Sloan-Kettering Cancer Center Dynamics of worm embryogenesis |
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Colin Begg Memorial Sloan-Kettering Cancer Center Biostatistics |
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Adele Boskey Weill Medical College Mechanism of biomineralization via analyses of the structure of mineral and matrix in health and disease, the role of matrix constituents in mineralization, and the development of novel methods to assess mineral and matrix properties |
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Carlos Bustamante Cornell University Statistical genetics/genomics; Bayesian statistics; population genetics/genomics; computational statistics; molecular evolution |
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Fabien Campagne Weill Medical College Development of computational methods and tools to facilitate the management, visualization, analysis (including data mining or modeling and simulation) of biological data, information and knowledge. |
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David Christini Weill Medical College Investigation of the biophysical mechanisms of cardiac arrhythmias and use of such understanding to help guide and develop improved arrhythmia prevention and termination therapies. |
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Colleen Clancy Weill Medical College Develop theoretical methodologies to understand the emergent disease properties that develop over multiple scales: how mutations in cardiac ion channels alter protein, cell and tissue level function to cause arrhythmia. |
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Andrew Clark Cornell University Evolution of the Y chromosome in drosophila; population genetics of sperm displacement; human and comparative genomics; evolution of metabolic regulation; genetic basis of complex disease |
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David Eliezer Weill Medical College Application of NMR spectroscopy to problems in non-native structural biology |
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Daniel Gardner Weill Medical College Neurophysiology databases, neural networks, and synaptic plasticity |
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Robert Gilmour Cornell University Identification of the underlying cellular mechanisms for lethal heart rhythm disorders. |
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John Guckenheimer Cornell University Dynamical models of neural systems, for example, the stomatogastric ganglion of crustaceans; dynamics in systems with multiple time scales |
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Robert Klein Memorial Sloan-Kettering Cancer Center Identifying cancer predisposition mutations |
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Eric Lai Memorial Sloan-Kettering Cancer Center Control of developmental patterning in drosophila by Notch signaling and microRNAs |
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Christina Leslie Memorial Sloan-Kettering Cancer Center Transcriptional regulatory networks; Gene silencing by microRNAs; Remote protein homology detection |
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Christiane Linster Cornell University Computational biology of the sense of smell |
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Hod Lipson Cornell University Biologically-inspired computational and physical processes that allow complex high-level systems to arise from low-level building blocks |
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Jason Mezey Cornell University Quantitative genetics and genomics, statistical genetics, quantitative trait loci (QTLs), transcriptome modeling, and analysis of microarrays. |
Franziska Michor |
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Sheila Nirenberg Weill Medical College Neuronal network information processing |
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Richard Rand Cornell University Nonlinear dynamics in biology |
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Chris Sander Memorial Sloan-Kettering Cancer Center Cancer biology, systems biology |
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Steve Schwager Cornell University Statistical genetics |
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Jim Sethna Cornell University Nonlinear dynamics in biology |
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David Shalloway Cornell University Interations of Src and protein tyrosine phosphatase a in cancer; theoretical prediction of protein conformational changes |
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Adam Siepel Cornell University Developing computational methods for the identification of functional elements in eukaryotic (primarily mammalian) genomes, based on comparative sequence data. |
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Eric Siggia Cornell University Gene regulation |
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Steve Strogatz Cornell University Applied mathematics in areas such as nonlinear dynamics of oscillator network |
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Marjolein van der Meulen Cornell University BMP-5 mediation of bone mechanical adaptation and repair; modeling trabecular bone adaptation to mechanical loading |
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Jonathan Victor Weill Medical College Visual information processing, including receptive field analysis, motion, and textures and form |
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Jose Vilar Memorial Sloan-Kettering Cancer Center Biological networks relevant to cancer, including gene regulation (RXR and other nuclear hormone receptors); signal transduction (EGF and TGF- pathways); control of cell growth and death |
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Harel Weinstein Weill Medical College Structural, dynamic and electronic determinants of biological processes underlying physiological functions such as those triggered by molecular recognition and leading to signal transduction in systems of ever increasing size and complexity. |
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Timothy Wright Weill Medical College Orthopaedic biomechanics and biomaterials |
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Jennifer Zallen Memorial Sloan-Kettering Cancer Center Developmental Biology |
