User:Pakpoom Subsoontorn

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Contact Info

Pakpoom Subsoontorn
  • Pakpoom (Ton) Subsoontorn
  • Ph.D student, Bioengineering Stanford
  • Address: 73 Barnes Apartment 106 Stanford CA 94305
  • Phone: (626)-375-2764
  • Email: tons[at]stanford.edu, pakpoomTon[at]gmail.com
  • Official Website
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Education

  • 2008-, MS/PhD, Bioengineering, Stanford University
  • 2004-2008, BS (Biology and Computer Science), California Institute of Technology

Research interests

Past Research Projects

  • In vitro self-activating Switch (at Winfree Lab, Caltech)
  • Single-cell studies of bacterial transcriptional regulation (at | Phillips Lab, Caltech)
  • Biophysics of bacterial cell shapes (at | Haung Lab, Stanford)
    • In fall 2008, as a rotation student, I helped prof. KC Huang set up a new at Stanford. I started pilot projects related to biophysics of bacterial cell shape. The projects include 1) using light microscope and quantitative image analysis to study how E.coli cells convert between rod shape and nearly spherical shape during the transition between exponential growth phase and stationery phase, 2) studying the mechanics of E.coli cell wall cracking induced by antibiotic vancomysin, 3) designing a microfluidic device for culturing and imaging the lineage of rod-shape bacteria.
  • Protein structural determination with mulitple FRET distance constraints (at |Quake Lab, Stanford)
    • In winter 2009, as a rotation student, I worked on project to develop a new techniques for determining protein structure by measuring intramolecular distances using FRET. The idea is to label different pairs of amino acid residues on a protein with fluorescent donor an acceptor, measure FRET efficiency and infer the distances between each pair. The measured distances will be used as constraints to reconstruct the shape of the protein

Current Research Projects

  • Designs and performance analysis of genetically encoded combinatorial counter . (at | Endy Lab, Stanford)
    • Starting in spring 2009, I started a new project in Endy's lab on how to reliably store multiple bits of information in a living cell using genetically encoded devices. We chose a combinatorial counter as a specific study case for a N-bit information storage system that takes a single input and transition through 2^N possible states according to the number of pulses it receives. My project begins as a computational study to explore different possible designs of combinatorial counters built from existing synthetic gene circuits that can store a single bit of information.


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Publications

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