Rimple Sandhu

Computational Scientist

Boulder, Colorado, United States
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Summary

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Senior
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Rimple Sandhu is a computational scientist with nine years of experience developing physics-aware and uncertainty-aware machine learning for energy, transportation, and ecological applications at a U.S. Department of Energy research lab. She blends a strong academic foundation—a PhD and MASc in Civil Engineering—with postdoctoral research at NREL to advance energy-efficient AI approaches like reservoir and brain-inspired computing that prioritize low-data, low-compute solutions. Her work spans scientific ML, Bayesian inference, and uncertainty quantification, bringing rigorous probabilistic modeling to real-world renewable energy problems. Based in Boulder, Colorado, she is drawn to interdisciplinary projects that translate physical principles into robust, resource-conscious ML systems.
code9 years of coding experience
job6 years of employment as a software developer
bookIndian Institute of Technology Bombay
bookDoctor of Philosophy - PhD, Civil Engineering, Doctor of Philosophy - PhD, Civil Engineering at Carleton University
languagesEnglish, Hindi, Punjabi
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Stackoverflow

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Github Skills (6)

raptor9
agent-based-modeling9
stochastic9
agent6
srtm6
machine-learning5

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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NREL/SSRS

Jul 2021 - Aug 2022

A stochastic agent-based model for predicting raptor movements during updraft-subsidized directional flights
Contributions:2 reviews, 53 commits, 8 PRs in 1 year 1 month
movements3depwind-wildlife-interactionsmodel-basedwind-toolkit-dataset
rimplesandhu/pybpr

Feb 2023 - Oct 2024

Contributions:11 pushes in 1 year 8 months
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Rimple Sandhu - Computational Scientist