User:Austin G. Meyer: Difference between revisions

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# Quantitative Biology - In particular modeling biological phenomena and making predictions from simulations.
# Quantitative Biology - In particular modeling biological phenomena and making predictions from simulations.
# Experimental Molecular Biology and Molecular Evolution - Exploiting natural processes to technological ends.
# Experimental Molecular Biology and Molecular Evolution - Exploiting natural processes to technological ends.
# Quantitative and Data Science - Related to the intersection of traditional fields like statistics and computer science.  I think this will be the next revolution in science and technology.
# Quantitative and Data Science - At the intersection of traditional fields like statistics and computer science.  I think this will be the next revolution in science and technology.  We are already seeing steps in this direction with obvious examples coming from the Large Hadron Collider and the Genomics revolution, and less obvious, but potentially more important data troves coming from social networks and relatively passive internet browsing.
# Structural Biology and Biophysics
# Structural Biology and Biophysics

Revision as of 19:47, 11 May 2011

I am a new member of OpenWetWare!

Contact Info

Austin G. Meyer (In Taos, NM)
  • Austin G. Meyer
  • University of Texas at Austin
  • Email

I am a joint member in the labs of Drs. Claus Wilke and Jeff Barrick at the University of Texas at Austin.

Visit my research website here.

My website is generally kept more up to date and in depth on my work.

Education

  • 2010-Present, PhD Biochemistry, University of Texas at Austin
  • 2010, MS Structural Biology, Texas Tech University Health Sciences Center
  • 2008, BS Physics, Texas Tech University
  • 2008, BA Philosophy, Texas Tech University

Research interests

  1. Quantitative Biology - In particular modeling biological phenomena and making predictions from simulations.
  2. Experimental Molecular Biology and Molecular Evolution - Exploiting natural processes to technological ends.
  3. Quantitative and Data Science - At the intersection of traditional fields like statistics and computer science. I think this will be the next revolution in science and technology. We are already seeing steps in this direction with obvious examples coming from the Large Hadron Collider and the Genomics revolution, and less obvious, but potentially more important data troves coming from social networks and relatively passive internet browsing.
  4. Structural Biology and Biophysics