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Ahmed Moussa
AI/ML Professional · Research Scientist

Dr. Ahmed Moussa

Predictive intelligence for risk and resilience in complex systems.

Applied across Climate, Infrastructure, Logistics & Supply Chains, Advanced Air Mobility, and Project & Asset Management.

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Gold MedalGovernor General of Canada
Vanier ScholarNSERC Canada
5,000+ DownloadsOpen-Source ML Tools

Intelligence That Holds Up in the Real World

Every system here was built under one constraint: it has to work when it matters.

Applied ML Systems

Early Warning That Converts Into Action

Deep learning on geospatial time series to forecast flood and wildfire hazard, and to predict accident risk in drone-based hazmat logistics, deployed as cloud pipelines.

89%Flood Forecast NSE
~38%Better Wildfire Prediction
0.95R² on Drone Risk
Applied ML ProjectsAgentic AI Systems

Multi-Step Work, Completed Autonomously

Autonomous research agents, hierarchical coordination pipelines and retrieval-grounded assistants that cite their sources. They finish tasks end to end rather than answering one question at a time.

7Coordinated Agents
Multi-RoundResearch Loops
Agentic AI ProjectsProduction ML & MLOps

Models That Keep Working After Launch

Drift detection that triggers automatic retraining, CI/CD that ships to containers, and orchestrated pipelines on Vertex AI: the work that keeps a model accurate long after launch.

~40%Faster Deployment
AutomatedRetraining
MLOps ProjectsResearch & Open-Source Tooling

Methods and Code That Survive Peer Review

Peer-reviewed work on graph-theoretic risk modeling and optimization-augmented machine learning, plus three open-source Python packages used by practitioners worldwide.

8+Publications
5,000+Downloads
94Citations
Research & Tools

The Path So Far

From a voice assistant built at fourteen to Canada's top graduate distinction.

  1. 2011Egypt

    An Adaptive Voice System at 14

    A speech interface that learned each user's voice over time. It won at Intel ISEF Egypt.

  2. 2018Germany

    First Computational Modeling

    A six-month thesis placement at the University of Stuttgart gave that instinct a discipline.

  3. 2019Egypt

    Valedictorian, GUC

    Top of class with highest honors at the German University in Cairo, on a full tuition scholarship.

  4. 2020–2025Canada

    PhD at McMaster

    Vanier Canada Graduate Scholar, 2022–2025. Machine learning for cascading risk in complex systems.

  5. 2025Canada

    Governor General’s Academic Gold Medal

    Awarded annually to McMaster University’s top graduate student; one of Canada’s highest academic honors.

Read the Full Story

Featured Work

Two builds, taken from research to systems people can use.

Applied ML Systems · Climate Resilience & Infrastructure

Urban Flood Forecasting

Conventional flood models need soil moisture readings, calibrated gauges and physics-based solvers, inputs that take hours to assemble when a storm is already arriving. This system predicts flood extent and depth across Calgary's Bow and Elbow watersheds from rainfall alone. A CNN reads spatial rainfall against topography, an LSTM models accumulation over time, and a custom synchronization layer resolves the lag between storm and inundation.

Runs as an automated TFX pipeline on GCP Vertex AI, promoting a new model only when it beats the current one.

Nash–Sutcliffe Efficiency
Average Depth Error
2100
Climate Horizon, RCP 8.5

Built WithCNN + LSTM · TensorFlow · TFX · Vertex AI · GIS

Open-Source Tools · ML Tooling & Optimization

Hyperparameter Optimizer

Grid search grows exponentially with every hyperparameter, and random search trades that cost for luck. This Python package replaces both with two metaheuristics: Particle Swarm Optimization moves a population of configurations toward promising regions, and Pattern Search refines locally around the best points found.

A drop-in replacement for GridSearchCV that wraps any scikit-learn estimator, and the engine behind OptiTree's benchmarking.

Downloads Worldwide
Complementary Metaheuristics
Drop-In
scikit-learn Compatible

Built WithPython · PSO · Pattern Search · scikit-learn · PyPI

Online Course · Now on Udemy

Designing Production-Grade Deep Learning Pipelines

Take a deep learning model from a notebook to an automated, monitored production system on Google Cloud, with evaluation-gated deployment, automatic retraining and CI/CD.

Hours of Video
Downloadable Resources
Articles
Enroll on UdemyCourse Details

Built WithTFX · Vertex AI · MLflow · Docker · Cloud Run · GitHub Actions Companion Code on GitHub

By the Numbers

Measured against baselines, delivery cycles and funded outcomes, not against activity.

CAD in Research Proposals
Faster Deployment
Training Efficiency Gain
AI Systems Built
Peer-Reviewed Publications
Canada’s Governor General’s Academic Gold MedalGovernor General of Canada · 2025Awarded annually to McMaster University’s top graduate student; one of Canada’s highest academic honors.
Canada’s Top Ph.D. Distinction: Vanier ScholarNSERC Canada · 2022–2025Awarded to top-ranking doctoral researchers across Canada.

Let's Build Something That Matters

If you have a decision that depends on predicting risk in a complex system, I'd like to hear about it.

Discuss a ProjectView Projects