User:Ramalldf

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(Diego Ramallo)
Current revision (19:39, 14 August 2015) (view source)
(Diego Ramallo)
 
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='''Diego Ramallo'''=
='''Diego Ramallo'''=
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'''Contact''': ramalldf@stanford.edu
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'''Contact''': ramalldf@stanford.edu [[Image:Dr fibroblast multi imaging panel.png||thumb|right|150px|Fibroblast expressing sensor squeezing a PA gel embedded with fluorescent beads.]]
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*Grad (current): Stanford University, [http://med.stanford.edu/biophysics/ Biophysics Program]. Member of the [http://openwetware.org/wiki/Dunn Dunn Lab].
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*Ph.D in Biophysics, Stanford University, 2015. Member of the [http://openwetware.org/wiki/Dunn Dunn Lab].
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*For more information, please see my LinkedIn profile: http://www.linkedin.com/in/diegoramallo
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*GitHub profile: https://github.com/ramalldf 
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*Some plot.ly data: https://plot.ly/~Diego/
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=='''Interests'''==
=='''Interests'''==
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*Cytoskeletal tension, Single-molecule methods  
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*Mechanobiology, Single-molecule methods  
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*DNA replication, DNA repair and chromatin remodeling processes
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*Motor proteins
*Motor proteins
*Science 2.0
*Science 2.0
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*Data visualization
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==[[/More about me|More about me]]==
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*I'm still working on updating this space but as I get more adjusted into my current lab and the OWW universe, I will contribute more for everyone to see. More to come.
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*Click on the link above:
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**To see useful stuff that I'm posting.
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**See some useful protocols.
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**I've been doing a lot of outreach recently, I hope to post more on that as well.
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**I have a few other ideas about how to best use OWW for my (and everyone who reads this page) benefit. I'll post on that soon as well.
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**To the right is a picture of me during my time in Albuquerque, New Mexico. Good times.
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Current revision

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Diego Ramallo

Contact: ramalldf@stanford.edu
Fibroblast expressing sensor squeezing a PA gel embedded with fluorescent beads.
Fibroblast expressing sensor squeezing a PA gel embedded with fluorescent beads.
  • Ph.D in Biophysics, Stanford University, 2015. Member of the Dunn Lab.



Interests

  • Mechanobiology, Single-molecule methods
  • Motor proteins
  • Science 2.0
  • Data visualization
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