Difference between revisions of "Team:NYU-AD/Advisors"

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<h2>Shien Yang Lee</h2>
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<h2>Kourosh Salehi-Ashtiani</h2>
<p>Another way is to scale the image itself. That's what we have done with the image on the right here. As you can maybe see if you make the window very wide, JPEG images don't scale very well. But if the image is a diagram or a graph in SVG format, scaling in fact works beautifully. Here is the mark-up we used:</p>
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<p>Kourosh Salehi-Ashtiani received his Ph.D. from Northwestern University (Illinois, USA) in Cell and Molecular Biology. He joined Prof. Jack Szostak’s group at  Massachusetts General Hospital, Howard Hughes Medical Institute, where he studied catalytic RNAs through in vitro evolution for his postdoctoral work. Following completion of his postdoctoral work, he moved to Center for Cancer Systems Biology at Dana-Farber Cancer Institute (a teaching affiliate of Harvard Medical School) as a Group Leader where he developed a number of high throughput platforms for exploration of the coding and metabolic potential of human and model organism genomes, including the green alga Chlamydomonas reinhardtii. Salehi-Ashtiani joined New York University Abu Dhabi in 2011 as an Associate Professor of Biology and is currently the Managing Director of Center for Genomics and Systems Biology at NYU Abu Dhabi. His group at NYU Abu Dhabi explores fundamental questions on evolution and phenotype-genotype relations through integration of high throughput experimental platforms (such as high throughput sequencing and Phenotype Microarray) with genome-scale metabolic models. His group aims to define the metabolic potential of eukaryotic genomes and use this information to identify strategies for improving bioproduct production in algal systems as well as metabolic perturbations associated with human disease states. Salehi-Ashtiani has been a recipient of multiple US Federal research grants in the past.</p>
 
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Revision as of 21:03, 17 September 2015

Advisors

Kourosh Salehi-Ashtiani

Kourosh Salehi-Ashtiani received his Ph.D. from Northwestern University (Illinois, USA) in Cell and Molecular Biology. He joined Prof. Jack Szostak’s group at Massachusetts General Hospital, Howard Hughes Medical Institute, where he studied catalytic RNAs through in vitro evolution for his postdoctoral work. Following completion of his postdoctoral work, he moved to Center for Cancer Systems Biology at Dana-Farber Cancer Institute (a teaching affiliate of Harvard Medical School) as a Group Leader where he developed a number of high throughput platforms for exploration of the coding and metabolic potential of human and model organism genomes, including the green alga Chlamydomonas reinhardtii. Salehi-Ashtiani joined New York University Abu Dhabi in 2011 as an Associate Professor of Biology and is currently the Managing Director of Center for Genomics and Systems Biology at NYU Abu Dhabi. His group at NYU Abu Dhabi explores fundamental questions on evolution and phenotype-genotype relations through integration of high throughput experimental platforms (such as high throughput sequencing and Phenotype Microarray) with genome-scale metabolic models. His group aims to define the metabolic potential of eukaryotic genomes and use this information to identify strategies for improving bioproduct production in algal systems as well as metabolic perturbations associated with human disease states. Salehi-Ashtiani has been a recipient of multiple US Federal research grants in the past.

Quan Vuong

Another way is to scale the image itself. That's what we have done with the image on the right here. As you can maybe see if you make the window very wide, JPEG images don't scale very well. But if the image is a diagram or a graph in SVG format, scaling in fact works beautifully. Here is the mark-up we used:

Jovan Jovancevic

Another way is to scale the image itself. That's what we have done with the image on the right here. As you can maybe see if you make the window very wide, JPEG images don't scale very well. But if the image is a diagram or a graph in SVG format, scaling in fact works beautifully. Here is the mark-up we used: