Assaad Mrad
Data Scientist
Durham, North Carolina, United States
Summary
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Top SchoolAssaad Mrad is a Data Scientist and Lead Machine Learning Engineer with 9 years of experience applying geospatial ML and statistical modeling to real-world environmental and infrastructure problems. He has led teams and productionized models that translated into multi-million dollar sales and secured a $500k+ Microsoft grant, including a UNet surrogate for hydraulic physics and LightGBM-based probabilistic flood hazard mapping. Comfortable across the ML lifecycle, he builds Spark pipelines, optimizes PyTorch Lightning GPU training, and maintains CI/CD for reliable ML deployments using MLflow. His academic background (PhD in Environmental Science) and publications underpin a rigorous approach to modeling, while his work translating remote sensing into actionable flood and fire risk products shows an uncommon blend of domain science and scalable engineering.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Environmental Science, Doctor of Philosophy (PhD), Environmental Science at Duke UniversityBachelor of Engineering (B.E.), Mechanical Engineering, Bachelor of Engineering (B.E.), Mechanical Engineering at American University of Beirut
English, Arabic, French
Github Skills (11)
residual-networks9
water8
high-resolution8
denoising8
explore7
matlab7
image-restoration6
image-manipulation6
super-resolution6
deep-learning4
pytorch4
Programming languages (4)
Github contributions (5)
mradassaad/Xylem_Network_Matlab
May 2018 - Jul 2021
This Matlab code is designed as a model to explore how water or emboli propagate throughout a plant xylem tissue.
Contributions:67 commits, 2 PRs, 57 pushes in 3 years 2 months
plantmatlabexploretissuepropagate
mradassaad/usgs-water-chat
Apr 2024 - Aug 2024
Chat with USGS web services
Contributions:1 PR, 55 pushes, 1 branch in 4 months
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