Home Publications Teaching Students CV Exam art Data


Hi! I'm Tony

I'm a professor in the School of Mathematical Sciences at the Rochester Institute of Technology.

bao tower

About me

Mathematics is a powerful tool which enables us to answer interesting questions. In my research, I use mathematical and statistical tools to characterize uncertainty in physical models. I am particularly interested in assessing how these modeling uncertainties map to uncertainty in decision-making, in settings ranging from mitigating climate risks to determining how best to split the bill when getting dinner with friends. In the classroom, I like to draw on these experiences to (hopefully!) show students that mathematics is much more than just a set of prerequisites for their other coursework. It turns out that mathematics and statistics are the foundation of... well, pretty much all of science.

Current semester

In Fall 2021, I am teaching Probability and Statistics I (MATH 251).

Office hours: Mon 11:45-1:15, Wed 10:30-12 (in-person, probably using the chalkboards outside my office because ventilation is important)

and by appointment.

If you need to meet and chat outside of regularly scheduled office hours, send me an email to set something up so we can have a focused conversation.

Research interests

Uncertainty in climate model projections, sea level rise in particular, can lead to suboptimal, ineffective, and - at worst - outright dangerous policy decisions. To avoid this, we must use the information we have available make the best possible policy decisions. This requires accounting for not only varying forms of uncertainty in model parameters and projections, but deep uncertainty - uncertainty in the uncertainty in model structure and parameters. Statistical calibration approaches allow us to constrain these models and characterize the uncertainties inherent in both the model and data, and are a critical part of any modeling effort.

I am interested in future projections of sea-level rise and their impacts on coastal defense decision-making. This includes examining statistical model calibration techniques and extreme value statistical models.


Google Scholar

Pictures speak a thousand words, so here's a picture made up of words from my Google Scholar page.

Here is some information




Reasonably current CV

Exam art

PhD, Applied Mathematics, University of Colorado at Boulder, 2016
MS, Applied Mathematics, University of Colorado at Boulder, 2012
BA, Mathematics (hons.) and Astrophysics, Ohio Wesleyan University, 2010
Contact information
Office: GOS-2232
Email: Tony.Wong@rit.edu
School of Mathematical Sciences
Rochester Institute of Technology
Rochester, NY 14623, USA