Nanotechnology Engineering
University of Waterloo · Dean’s Honours List
I build AI systems that turn complex scientific and industrial data into trusted decisions.
Palantir · Applied AI · Semiconductors · Scientific R&D
At Palantir, I work where research, software, and consequential operations meet—turning complex data into systems that people can trust and use.
View the semiconductor whitepaper ↗Swipe to explore · 1 of 4 · Data
Data + Models selected · Secure semiconductor data ecosystem
Published research, industry work, and open tools across interpretable machine learning, semiconductors, and optical materials.
Interpretable discovery of semiconductors with machine learning · npj Computational Materials
Connected data and workflows for semiconductor research and development · Palantir
Ideal luminescence curve generation for optical materials research · GitHub
I lead at the intersection of scientific rigor, executive priorities, and the day-to-day work required to move systems into practice.
Leading a four-member team designing and implementing a semiconductor data science module.
Agentic R&D infrastructure active across 30 deployments and serving 300+ users.
Scope business use cases with executive leadership across structured and unstructured datasets.
Write industry whitepapers and technical materials for semiconductor participants and external teams.
My work moves between scientific research and consequential deployment: reducing complex problems to their fundamentals, building rigorous models, then engineering systems that create durable value.
University of Waterloo · Dean’s Honours List
University of Toronto · Perovskite nanomaterials
Palantir Technologies · Applied AI in practice
Let’s build what’s next.
For conversations about applied AI, scientific R&D, and complex decision systems, LinkedIn is the direct path.
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