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 research.

Climate risk

Sea-level change & coastal adaptation

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 computational tools shape their thinking, and how they develop practices for solving and communicating technical problems.

Education research

Education data science & student success

I use educational data to study student support, learning, retention, and persistence, including the impact of programs such as Learning Assistants.

RIT Learning Assistant Program →

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.

See courses and teaching experience →

Open work