Pavan Ravindra

Program Year:

University:

Columbia University

Field of Study:

Chemical Physics

Advisor:

David Reichman

Degree(s):

M.Phil. Chemistry, University of Cambridge, 2022; B.S. Biochemistry, and B.S. Computer Science, University of Maryland College Park, 2021

Practicum Experience(s)

Brookhaven National Laboratory (2024)

Practicum Supervisor(s):

Deyu

Practicum Title:

Machine Learning for X-Ray Absorption Spectroscopy

Summary of Research

I use ideas from physics and machine learning to study complex chemical systems, including supercooled liquids, nanomaterials, and biomolecules. My current projects include:

1. Using neural networks to model quantum states of interacting fermions
2. Developing machine learning methods to compute correlation functions in stochastic systems more efficiently
3. Connecting simulated and experimental X-ray absorption spectra using data-driven methods

Annual Program Review Abstracts

Fellow Poster

: A Machine Learning Force Field Study of Hydrogen Bonding in Nanoconfined Water (

2024

)

Publications

P. Ravindra, X.R. Advincula, B.X. Shi, S.W. Coles, A. Michaelides, V. Kapil (2026). Nuclear quantum effects amplify autoionization-driven superionic behaviour in nanoconfined monolayer water. Chemical Science.

N. Cao, P. Ravindra, S.R. Kharel, C. Cao, B. Li, X. Jiang, M.R. Carbone, X. Qu, D. Lu (2025). Advancing AI-Driven Analysis in X-ray Absorption Spectroscopy: Spectral Domain Mapping and Universal Models. Photon Science.

P. Ravindra, X.R. Advincula, C. Schran, A. Michaelides, V. Kapil (2024). Quasi-one-dimensional hydrogen bonding in nanoconfined ice. Nature Communications.

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

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

Awards

- Jack Miller Teaching Award
- Churchill Scholarship
- Goldwater Scholarship
- Banneker/Key Scholarship