About
Mission
I work at the intersection of artificial intelligence and the complex systems that shape our world — infrastructure, climate, logistics, and the large-scale projects that build our future. What unites my work is a single conviction: in high-stakes systems where uncertainty is costly and decisions are consequential, intelligent AI is not a luxury — it’s a necessity.
That conviction drives everything I build. From wildfire and flood prediction systems to drone logistics risk models, from digital twin platforms for critical infrastructure to ML-driven frameworks for managing systemic risk in large-scale projects — my work is focused on one ambition: turning complexity into clarity, and uncertainty into action.
Who I Am
I’m an Engineer and Researcher with a passion for building systems that matter. I work where machine learning meets the real world: designing, deploying, and scaling intelligent systems across some of the most complex and consequential domains there are.
My path has been anything but linear, and I think that’s my greatest asset.
“The universe is under no obligation to make sense to you.”
Neil deGrasse Tyson
Complex systems rarely do. And yet, understanding them — and building intelligence that can navigate their uncertainty — has been the defining pursuit of my career.
The Journey
I grew up in Egypt, where an early fascination with how things work — and more importantly, how they fail — set me on a path toward engineering. At the German University in Cairo, I threw myself into that pursuit fully, graduating as class valedictorian with highest honors, supported by a full tuition scholarship and multiple academic excellence awards.
A turning point came during my bachelor’s thesis year, when I traveled to Stuttgart University in Germany. It was my first serious encounter with computational modeling and algorithmic thinking — building software to simulate the behavior of complex systems. What I discovered there shifted everything: the most interesting questions weren’t about structures or materials. They were about uncertainty, interdependence, and prediction. That realization planted the seed for everything that followed.
I moved to Canada to pursue a PhD at McMaster University, awarded the Vanier Canada Graduate Scholarship — one of the country’s most prestigious doctoral fellowships. What began as research into risk modeling for large-scale projects grew into something broader: a conviction that machine learning could do more than analyze complex systems after the fact — it could actively make them smarter, safer, and more resilient.
In 2025, I completed my PhD and was honored with Canada’s Governor General Academic Gold Medal — the highest academic distinction awarded to a graduate student in the country. It was a milestone, but not a destination. The work continues.
What Drives Me
Rigor
I hold my work to the highest standards—whether it’s a published paper, a deployed ML pipeline, or a mentorship conversation. Good intentions are not enough; the work has to be right.
Impact
Research that stays in journals doesn’t move the world. I build things that can be deployed, tested, and improved in practice—tools that practitioners actually use and systems that make real decisions in climate, logistics, infrastructure, and beyond.
Ambition
The problems I care about—systemic risk, climate resilience, intelligent logistics, complex project failure—are hard and consequential. They sit at the intersection of multiple disciplines, and I believe they deserve researchers and engineers willing to think boldly, work across boundaries, and refuse easy answers.
Beyond the Research
I am a committed mentor. Several of the students I’ve worked with have gone on to graduate programs and research careers of their own, and I consider that among my most meaningful contributions. I also believe strongly in open science—my open-source tools have been downloaded over 2,000 times by ML practitioners worldwide, and I’ll keep building things worth sharing.