Pavan Ravindra

  • Program Year: 1
  • Academic Institution: Columbia University
  • Field of Study: Chemical Physics
  • Academic Advisor: David Reichman
  • Practicum(s): Practicum Not Yet Completed
  • Degree(s):
    M.Phil. Chemistry, University of Cambridge, 2022; B.S. Biochemistry, and B.S. Computer Science, University of Maryland College Park, 2021
  • Personal URL:

Summary of Research

I use tools from physics and machine learning to study a broad range of chemical systems, such as supercooled liquids, nano-materials, and biomolecules. My current projects are below:

1. Using machine learning to understand structural relaxation in supercooled liquids as we approach the glass transition
2. Computing phase diagrams of nano-materials (namely nano-confined water)
3. Understanding how light-matter interactions in optical cavities can influence chemical kinetics


1. Ravindra, P., Smith, Z., Tiwary, P. (2020). Automatic mutual information noise omission (AMINO): Generating order parameters for molecular systems. Molecular Systems Design & Engineering.

2. Smith, Z., Ravindra, P., Wang, Y., Cooley, R., Tiwary, P. (2020). Discovering Protein Conformational Flexibility Through Artificial Intelligence Aided Molecular Dynamics. The Journal of Physical Chemistry B.

3. Ravindra, P., Advincula, X., Schran, C., Michaelides, A., Kapil, V. (2023). A quasi-one-dimensional hydrogen-bonded monolayer ice phase. arXiv.


- Churchill Scholarship
- Goldwater Scholarship
- Banneker/Key Scholarship