Team:Wisconsin-Madison/teamadvisors
From 2011.igem.org
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https://static.igem.org/mediawiki/2011/a/aa/Mary.png" width="250" align="Left" style="padding:8px;" /> <p><br> | https://static.igem.org/mediawiki/2011/a/aa/Mary.png" width="250" align="Left" style="padding:8px;" /> <p><br> | ||
- | <strong><font size="3"> | + | <strong><font size="3">Brian Pfleger:</font></strong ><p> |
I am a senior at University of Wisconsin-Madison majoring in Microbiology and Life Science Communication. My research interest is in applying microbiology to public health related fields such as monitoring antibiotic resistance in a waste water treatment plant. I have also written science articles for the college newspaper that pertain to student health issues and research around the campus. This is my second year on the iGEM team. Fun Fact: The picture was taken at the hockey rink inside Camp Randall. | I am a senior at University of Wisconsin-Madison majoring in Microbiology and Life Science Communication. My research interest is in applying microbiology to public health related fields such as monitoring antibiotic resistance in a waste water treatment plant. I have also written science articles for the college newspaper that pertain to student health issues and research around the campus. This is my second year on the iGEM team. Fun Fact: The picture was taken at the hockey rink inside Camp Randall. | ||
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<strong><font size="3">John De Friel:</font></strong ><p> | <strong><font size="3">John De Friel:</font></strong ><p> | ||
John De Friel is a senior in the department of Chemical and Biological Engineering at UW-Madison focusing on computational and experimental approaches to systems and synthetic biology. In his computational work, he develops and analyzes genome-scale metabolic models of bacteria. These models are used for determining genetic engineering strategies of bacteria to increase their production of bio-fuels or the degradation of environmental contaminants. His experimental work has focused on using synthetic biology to develop bio-sensors for petroleum products and working in a genomics laboratory to sequence and analyze the genome of Pseudomonas fluorescens L5.1-96. | John De Friel is a senior in the department of Chemical and Biological Engineering at UW-Madison focusing on computational and experimental approaches to systems and synthetic biology. In his computational work, he develops and analyzes genome-scale metabolic models of bacteria. These models are used for determining genetic engineering strategies of bacteria to increase their production of bio-fuels or the degradation of environmental contaminants. His experimental work has focused on using synthetic biology to develop bio-sensors for petroleum products and working in a genomics laboratory to sequence and analyze the genome of Pseudomonas fluorescens L5.1-96. | ||
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Revision as of 14:44, 9 August 2011
Team >> Overview, Members, Advisers, Sponsors
I am a senior at University of Wisconsin-Madison majoring in Microbiology and Life Science Communication. My research interest is in applying microbiology to public health related fields such as monitoring antibiotic resistance in a waste water treatment plant. I have also written science articles for the college newspaper that pertain to student health issues and research around the campus. This is my second year on the iGEM team. Fun Fact: The picture was taken at the hockey rink inside Camp Randall.
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I am a senior at University of Wisconsin-Madison majoring in Microbiology and Life Science Communication. My research interest is in applying microbiology to public health related fields such as monitoring antibiotic resistance in a waste water treatment plant. I have also written science articles for the college newspaper that pertain to student health issues and research around the campus. This is my second year on the iGEM team. Fun Fact: The picture was taken at the hockey rink inside Camp Randall.
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John De Friel is a senior in the department of Chemical and Biological Engineering at UW-Madison focusing on computational and experimental approaches to systems and synthetic biology. In his computational work, he develops and analyzes genome-scale metabolic models of bacteria. These models are used for determining genetic engineering strategies of bacteria to increase their production of bio-fuels or the degradation of environmental contaminants. His experimental work has focused on using synthetic biology to develop bio-sensors for petroleum products and working in a genomics laboratory to sequence and analyze the genome of Pseudomonas fluorescens L5.1-96.
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