Big whorls have little whorls, Which feed on their velocity

And little whorls have lesser whorls, And so on to viscosity.

[Concerning atmospheric turbulence]

— Lewis Fry Richardson


Climate Dynamics Doctoral Candidate, George Mason University

I like working with numerical models and topics related to Atmospheric Physics. I enjoy using programming tools to analyze big data and finding patterns. My research interest includes but not limited to large-scale atmospheric circulation, seasonal to decadal variations in large-scale atmospheric properties, and climate response to forcing from anthropogenic and natural sources. Currently, I am working with Dr. Natalie Burls as a Research Assistant in the Department of AOES, GMU.

Tools I use in my research- Programming Language: Python, MATLAB, R, NCL, GrADS, SQL, Latex, C, bash scripting. Machine Learning: Scikit-learn, Deep Learning, Keras, Tensorflow, RNN (LSTM, GRU), kNN. Models: CESM, WRF, Herwig ++, GIS, LAMMPS Molecular Dynamics Simulator.

Ongoing Git Projects

  • Using Deep (Machine) Learning tools to Predict daily temperature of Fairfax city (Source Codes).
  • Building a Python-based library "AOESpy" for better application of statistical, dynamical tools, and plotting climate science data (Source Codes).


Research Hall, Room: 120, Mail Stop MSN 2B3,

4400 University Drive, Fairfax, VA 22030 USA


AGU Fall meeting. Washington DC (December 2018)

STEM Summer Camp Workshop (as presenter)(2019)

Summer interns Presentation (as mentor) (August, 2019)

FC Science Fair (as Judge) (May 2019)

Dr. Burls lab with Summer interns (August, 2018)

CESM Workshop, NCAR, Colorado (August, 2017)

Climate Dynamics Hiking, Great Falls, VA (October, 2016)

AGU Fall meeting, San Francisco (December 2019)