Sukrit Singh, PhD

About me
I am a Damon Runyon Quantitative Biology
and NCI Early Stage K99/R00 Postdoctoral Research Fellow at Memorial Sloan-Kettering Cancer Center (MSKCC). I work with John Chodera (with joint mentorship from Markus Seeliger) studying protein dynamics and their relevance in therapeutic resistance.
See my research page for details.
The Singh Lab is coming in 2027 – Reach out if you want to join!

Contact me
Current roles:
- I am currently a NCI Early Stage K99/R00 Postdoctoral Research Fellow and Damon Runyon Quantitative Biology Fellow at Memorial Sloan-Kettering Cancer Center jointly mentored by John Chodera and Markus Seeliger.
- I am a maintainer of the MDTraj python package, which is a widely used tool for analyzing molecular dynamics simulations.
- I help with science communication efforts as a team member of the Folding@home project. This includes helping out with the twitter page as well as the twitch stream.
Education and Previous Roles:
PhD in Computational and Molecular Biophysics with Greg Bowman
- Supported by a Millipore-Sigma Fellowship, my thesis work developed approaches to parse protein allostery (how distant amino-acids impact one another) from MD simulations to explain biological mechanism at Washington University in St. Louis (Greg is now at UPenn).
- Through Greg’s lab, I was also a memeber of the Folding@home project, particularly through the COVID Moonshot and exascale computing effort.
Bachelor’s (BA) double majoring in Chemistry and Biology from Washington University in St. Louis
- I trained jointly between Jay Ponder and Garland Marshall working on integrated approaches to design peptidomimetics and synthesize better spectroscopic spin labels
- I briefly trained in Joe Dougherty’s group as a freshman and sophomore