Puja Das

Hydrologist & Flood Risk Specialist

PhD scientist specializing in flood hazard modeling, remote sensing, precipitation forecasting, and hydrologic risk assessment. Developing operational forecasting systems that protect communities and infrastructure from extreme weather events.

About Me

Puja Das - Hydrologist and Research Fellow

I am a hydrologist with expertise in flood modeling, risk assessment, and operational forecasting systems. With a PhD in Civil and Environmental Engineering from Northeastern University, I specialize in combining traditional hydrologic methods with advanced AI techniques to improve flood prediction and disaster preparedness.

My work spans flood depth estimation using remote sensing, real-time flood forecasting for river systems, and precipitation nowcasting. I have implemented operational systems with Tennessee Valley Authority for flood management and hydropower operations, and analyzed major flood events globally.

Currently serving as a Postdoctoral Research Fellow at the Institute for Experiential AI, I work at the intersection of hydrology, remote sensing, and data science to build tools that help communities prepare for and respond to flood hazards. My research has been published in Nature journals and presented to stakeholders including federal agencies, water utilities, and emergency management organizations.

5+
Years in Hydrology & Water Resources
10+
Flood Modeling Publications
3
Major Flood Events Analyzed

Professional Experience

Feb 2025 - Present

Postdoctoral Research Fellow

Institute for Experiential AI, Northeastern University

Leading advanced research in AI applications for weather, climate and hydrologic forecasting.

Leading the WEAVE project science team and developing operational flood forecasting systems with TVA. Coordinating multi-institutional collaborations and translating research into practical applications.

Sep 2020 - Feb 2025

Project Lead & Research Assistant

Northeastern University

Led the NASA-funded RAIN project, coordinating with multiple institutions including NASA, ORNL, and TVA. Developed hybrid AI-physics models for precipitation nowcasting.

Jun 2022 - Aug 2022

Data Science & Remote Sensing Intern

Capella Space Corp.

Led flood depth estimation project using SAR imagery and high-resolution topography data for disaster response applications.

May 2021 - Aug 2021

Machine Learning Intern

NASA Ames Research Center

Developed uncertainty-aware ML algorithms for quantitative precipitation estimation from geostationary satellites.

Technical Skills

Programming

  • Python
  • MATLAB
  • R
  • SQL
  • VBA

Machine Learning & AI

  • Supervised Learning
  • Time Series Forecasting
  • Computer Vision

Geospatial Analysis

  • ArcGIS Pro
  • QGIS
  • Google Earth Engine

Climate Modeling

  • Earth System Model Data Analysis
  • Statistical and Dynamical Downscaling

Watershed Modeling

  • HEC-RAS
  • HEC-HMS
  • SWMM

Data & Computing

  • NetCDF/HDF/GRIB Data Handling
  • High-Performance Cloud Computing

Research Projects

RAIN Project

Remote-sensing data driven Artificial Intelligence for precipitation-Nowcasting. Developing hybrid physics-ML methodologies for intense orographic precipitation prediction in Appalachia.

Machine Learning Remote Sensing Climate Science

WEAVE Project

Weather Ensemble Analytics and Visualization Environment - Leading science team developing advanced ensemble weather analytics and visualization tools for enhanced decision-making in weather-sensitive operations.

Ensemble Analytics Visualization Decision Support

Urbanization Impact Study

Analyzing precipitation extreme statistics and design curves for hydraulic infrastructures, focusing on urban vs non-urban regions across CONUS.

Urban Planning Statistics Infrastructure

Next-Generation Climate Modeling

Systematic evaluation of CMIP6 vs CMIP5 models revealing that finer resolutions and comprehensive physical processes improve runoff projections across 30 major global watersheds.

Climate Modeling Hydrology Data Analysis

SAR Flood Mapping

Synthetic Aperture Radar based flood depth estimation and damage assessment using satellite imagery and digital elevation models.

SAR Imaging Flood Mapping Disaster Response

Research Highlights

Research Highlight
Research Highlight
Research Highlight
Research Highlight

Selected Publications

npj Climate and Atmospheric Science 7, no. 1 (2024): 282
Das, P., Posch, A., Barber, N., Hicks, M., Vandal, T., et al.
npj Climate and Atmospheric Science, 8, 247 (2025)
Das, P., Ganguly, A. R.
Preprint at Earth arXiv, 2025 (Under Review)
Das, P., Ganguly, A., Rabb, N., Smith, K., Islam, S.
npj Climate and Atmospheric Science 8, no. 1 (2025): 329
Mawalagedara, R., Ray, A., Das, P., Watson, J., Pal, A., Duffy, K., Bhatia, U., Aldrich, D., Ganguly, A.

Teaching & Mentorship

University-Level Instruction

Northeastern University | 2020-2024

Served as a teaching assistant and delivered guest lectures as well as contributed to curriculum development. Courses include Climate Science Engineering Adaptation and Policy, Time Series and Geospatial Data Sciences, Probability and Engineering Economy for Civil Engineering and Critical Infrastructure Resilience.

Guest Lectures Curriculum Development Tutorial Design

Outstanding PhD Student Award for Teaching

Northeastern University | 2023

Recognized for exceptional contributions to teaching and academic support, including conducting interactive tutorials, providing one-on-one student guidance, and fostering collaborative learning environments.

Award Winner Student Mentoring Academic Excellence

Study Abroad Program Coordinator

Dialogue of Civilizations | 2023-2024

Coordinated international study programs in India and Nepal, designing orientation sessions, managing logistics, and facilitating cultural immersion activities for undergraduate students.

International Programs Cultural Immersion Program Management

Student Mentorship & Outreach

Multi-level Mentoring | 2021-2024

Mentored PhD students, undergraduates, and high school students in machine learning, climate modeling, and research methodology. Conducted specialized tutorials for students at Tufts University.

PhD Mentoring K-12 Outreach Research Training

Professional Training & Workshops

Various Institutions | 2023-2024

Assisted in developing AI for Science course materials at Northwestern University and conducted Earth System Model data analysis tutorials, enhancing understanding of complex climate science concepts.

Workshop Leader Professional Development Technical Training

YouTube Tutorials

Earth System Model Data Visualization and Analysis Tutorial

Learn how to analyze climate data using Python and various data science techniques.

Watch on YouTube

Machine Learning for Precipitation Prediction

Explore machine learning applications in weather forecasting and climate modeling.

Watch on YouTube

GIS Story Maps & Dashboards

Rising Sea Level, Boston Underwater

Understanding different sea level rise scenarios in Boston's neighborhoods.

ArcGIS StoryMap 2020
View Story Map

Hydropower Plants in US

Information about power generation along with temperature and precipitation in 2003-2020.

Interactive Dashboard 2021
View Dashboard

In the News

Media coverage of my research and achievements

Tennessee Valley Authority experiments with AI forecast model

In collaboration with a Northeastern researcher, the Tennessee Valley Authority plans to test an AI-generated weather forecasting model to better predict extreme rainfalls.

Northeastern University News July 23, 2024
Read Article

Can AI do a better job of predicting deadly floods?

Northeastern University researchers develop AI-powered flood prediction systems to help communities prepare for extreme weather events.

Northeastern University News December 4, 2023
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A Climate Dialogue To Remember: South Asia and the 2023 Monsoons

A Dialogue of Civilizations course traveled to India during summer 2023 to study climate science, engineering, adaptation and policy.

Northeastern University News October 20, 2023
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Can AI help reduce the risk of climate change disasters?

Research on using advanced modeling and AI techniques to reduce the impact of climate-related disasters and improve community resilience.

Northeastern University News May 25, 2023
Read Article

Get In Touch

Let's collaborate on risk assessment, forecasting, and AI applications.

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Location Malden, MA