Computational Scientist · Climate Data Science · Education Data Science

Making uncertainty useful.

I’m Tony Wong, an associate professor in the School of Mathematics and Statistics at Rochester Institute of Technology. I use mathematics, statistics, and computation to understand uncertain systems—and help people make better decisions about them.

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Research

Questions with real-world stakes

I study how uncertainty in physical and statistical models affects the decisions people make. My work sits at the intersection of applied math, climate modeling, risk analysis, data science, and education.

Climate risk

Sea-level change & coastal decisions

Statistical calibration, extreme-value models, and decision-making under deep uncertainty—especially for coastal defense and adaptation.

Education research

Computational literacy in STEM

How students learn with computation, how tools shape their thinking, and how educational data can illuminate learning, retention, and persistence.

View across Colorado's Front Range beneath dramatic clouds

In the classroom

Mathematics is something you do.

I draw on research and real problems to show that mathematics is more than a list of prerequisites. It is a language for asking sharper questions, testing ideas, and understanding nearly every part of science.

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Open work