Graduate Faculty Roster

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 (Updated: June 7, 2010)

Faculty Member Research Description
photo Emre Aksay
Weill Cornell 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 Cornell Medical College

Molecular mechanisms governing the function of membrane-spanning ion permeable channels

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Douglas Ballon
Weill Cornell 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

 

Scott Blanchard
Weill Cornell Medical College

Static molecular architecture and the fundamentally dynamic nature of biological processes

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Adele Boskey
Weill Cornell 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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Fabien Campagne
Weill Cornell 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, Program Director
Weill Cornell 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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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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Thomas Cleland
Cornell University

Computational and systems neurophysiology, olfactory circuit processing and perception, learning and memory, active sensation and the construction of sensory representations


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Olivier Elemento
Weill Cornell Medical College

Cancer Systems Biology

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David Eliezer
Weill Cornell Medical College

Application of NMR spectroscopy to problems in non-native structural biology

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Daniel Gardner
Weill Cornell 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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Zhenglong Gu
Cornell University

Evolutionary Genomics, Evolution of metabolism, Genetic robustness

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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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Alon Keinan
Cornell University

Human population genetics, statistical genetics, computational modeling, and molecular evolution

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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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Chris Mason
Weill Cornell Medical College

Using Integrative Functional Genomics to Map the Molecular and Evolutionary Dynamics of Brain Development and Cancer

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Jason Mezey
Cornell University

Quantitative genetics/genomics, statistical genetics, computational biology; pathway modeling; molecular evolution

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Franziska Michor
Memorial Sloan-Kettering Cancer Center

Evolutionary dynamis of cancer

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Chris Myers
Cornell University

Systems biology of regulatory, signaling, and metabolic networks

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Sheila Nirenberg
Weill Cornell 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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Xiling Shen
Cornell University

Using computational tools from control theory, information theory, and circuit design to model and analyze biological systems

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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 Cornell Medical College

Visual information processing, including receptive field analysis, motion and textures and form

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Harel Weinstein
Weill Cornell 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
photo Timothy Wright
Weill Cornell Medical College

Orthopaedic biomechanics and biomaterials
photo Joao Xavier
Memorial Sloan-Kettering Cancer Center

Computational models and quantitative experiments of biofilms and cancer
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Haiyuan Yu
Cornell University

Quantitative and experimental systems biology; statistical genetics; comparative genomics; machine learning; molecular evolution; disease prognosis analysis

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Jennifer Zallen
Memorial Sloan-Kettering Cancer Center

Developmental Biology