Georgia Institute of Technology

Eric Gaucher


 

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Evolutionary synthetic biology, molecular biology, comparative genomics, computational biology, bioinformatics, biomedicine, molecular evolution and origins of life

Hang Lu


 

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Microfluidics; bioMEMS; behavior neuroscience; cell biology; automation and high throughput engineering approaches to biology and biotechnology, Regenerative Medicine

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Microfluidics; bioMEMS; behavior neuroscience; cell biology; automation and high throughput engineering approaches to biology and biotechnology

Yury Chernoff


 

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Yeast molecular genetics: genetic control of protein folding and aggregation; yeast models for amyloid disorders; prions; chaperones and stress response; protein based epigenetic inheritance

Michael Davis


 

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Our laboratory focuses on various aspects of cardiac regeneration and preservation using molecular-based and biomaterials-based approaches to restoring function after cardiac injury

Todd Sulchek


 

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Bioengineering and Microelectromechanical Systems: Atomic force microscopy, pathogen adhesion and endocytosis, cell biomechanics, single molecule biophysics, drug delivery and targeting, cell membrane mimetics, biosensors

King Jordan


 

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My research program is focused on understanding the genome level determinants of the diversification between evolutionary lineages. The approach that I use towards this end is computationally based and consists of the comparative analysis of large-scale genomic sequence, expression and functional data sets. This approach is facilitated by the accumulation of genome-scale data sets and the continuing development of the computational applications and infrastructure needed to exploit such data. Ultimately, I hope to integrate our understanding of how evolutionary forces play out at distinct levels of biological organization. More specifically, I am interested in understanding the nature of evolutionary innovations that have led to the emergence of complexity in eukaryotic lineages. I currently explore three distinct research areas relating to the evolution of eukaryotic genome complexity: i-the contributions of transposable elements to host gene regulatory and protein coding sequences, ii-the tempo and mode of gene regulatory and expression divergence and iii-convergent evolution of gene function

Mark Styczynski


 

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Systems biology, bioinformatics, metabolism, and metabolomics

Robert Butera


 

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Block of peripheral nerve conduction by electrical stimuli, computational neuroscience, neural engineering, neural dynamics, real-time computing methods for electrophysiology and biophysics experiments

John McDonald


 

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Using Genomics to Design Personalize Cancer Therapies, The Role Of Non-encoding RNAs in Cancer Cancer Stem Cell Therapy, The Application of Nanotechnology to Cancer Diagnostics and Therapy

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