Publications

Peer-reviewed journal articles and research outputs

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Education

  • Ph.D. in Climate System | Pusan National University, South Korea 2023
  • M.S. in Ocean and Atmospheric Sciences | University of Hyderabad, India 2016
  • B.S. in Physics (Honors) | Delhi University, India 2014

Research Experience

  • Postdoctoral Researcher | Earth Commons Institute, Georgetown University 2023 – Present
    • Developing advanced machine learning algorithms to predict long-term changes in precipitation patterns and assess climate risk.
  • Ph.D. Researcher | Earth System Predictability Lab, IBS Center for Climate Physics 2018 – 2023
    • Investigated atmospheric rivers and their responses to a changing climate using ultra-high-resolution CESM climate models.
    • Developed a novel algorithm for detecting extreme weather events in large-scale climate datasets.
    • Co-developed machine learning tools to improve climate data downscaling for higher-resolution projections.
  • Research Assistant | National Institute of Oceanography, Goa, India 2016 – 2017
    • Mapped Indian Ocean currents using NOAA and INCOIS data, creating a high-resolution ocean current climatology.
    • Applied artificial neural networks (ANNs) to fill gaps in sea surface temperature (SST) data and predict SST fronts.
  • Summer Intern | Indian Academy of Sciences, India 2015
    • Analyzed Coastal Ocean Dynamics Application Radar (CODAR) data from the Gulf of Khambhat.
    • Conducted harmonic analysis to improve tide prediction accuracy.
  • Research Intern | Interdisciplinary Innovation Project, Delhi University 2013
    • Conducted data analysis and field studies to assess the energy efficiency, light characteristics, and economic feasibility of LEDs.

Peer-Reviewed Publications

  • Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning
    Water Resources Research (2026) [DOI]
  • Spatiotemporal Gaussian Process Regression Advances Early Detection of Precipitation Emergence
    Publication (2026) [DOI]
  • Bayesian Direct Policy Search for Adaptive Water Supply Planning with Endogenous Learning
    Publication (2025) [DOI]
  • Anthropogenically Driven Changes in the Carbon to Phosphorus Ratio of Marine Dissolved Organic Matter
    Global Biogeochemical Cycles (2024) [DOI]
  • Scalable Feature Extraction and Tracking (SCAFET): a general framework for feature extraction from large climate data sets
    Geoscientific Model Development (2024) [DOI]
  • Increased amplitude of atmospheric rivers and associated extreme precipitation in ultra-high-resolution greenhouse warming simulations
    Communications Earth & Environment (2023) [DOI]
  • Future sea-level projections with a coupled atmosphere-ocean-ice-sheet model
    Nature Communications (2023) [DOI]
  • The East Asian Summer Monsoon Response to Global Warming in a High Resolution Coupled Model: Mean and Extremes
    Asia-Pacific Journal of Atmospheric Sciences (2023) [DOI]
  • Downscaling Earth System Models with Deep Learning
    Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022) [DOI]
  • Scalable Feature Extraction and Tracking (SCAFET): A general framework for feature extraction from large climate datasets
    Publication (2022) [DOI]
  • Prediction of daily sea surface temperature using artificial neural networks
    International Journal of Remote Sensing (2018) [DOI]

Presentations & Invited Talks

  • Contrasting the Atmospheric River Responses to greenhouse gas warming with Orbital changes
    Moscone Center, San Francisco, San Francisco, California (Dec )

    [Details]

  • Projected Changes in Atmospheric Rivers in Response to Greenhouse Warming
    George Brown Convention Center, Texas, Houston TX, USA (Jan )

    [Details]

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Skills

  • Python: Feature extraction from massive climate datasets (xarray, netCDF4), ML downscaling frameworks, and Bayesian GP modeling (GPyTorch, PyTorch).
  • MATLAB: Artificial Neural Network (ANN) interpolation techniques for sparse observational data.
  • R: Automated scripting workflows for spatial satellite data processing and statistics.
  • FORTRAN: Development of algorithms for harmonic analysis and climate model post-processing.
  • HPC & Containerization: Cluster environments (Slurm, HPC), Linux shell scripting, Docker, and Singularity containers for scalable computing.

Service & Leadership

  • Head, Social Service League (SSL) | St. Stephen’s College, Delhi University 2013 – 2014
    • Led student outreach initiatives and organized year-round community service programs.