Tony Wong Headshot

Tony Wong

Assistant Professor
School of Mathematical Sciences
College of Science

585-475-7486
Office Hours
Stochastic Processes: M/Tu/W 11-12; Climate Change: M/Tu/W 12-1
Office Location

Tony Wong

Assistant Professor
School of Mathematical Sciences
College of Science

Bio

The General Idea: I am interested in addressing the implications of the uncertainty that is inherent in any physical model, and examining how best to constrain and characterize these uncertainties and their effects on decision-making.

More Specifically... 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.<br><br>I am interested in future projections of sea-level rise and their impacts on coastal defense and adaptation decision-making. This includes examining statistical model calibration techniques and extreme value statistical models. I am currently looking for students at all levels, and aim to create a research group with a diversity of culture, experiences and ways of thinking. If you are interested in chatting about research, potential projects or anything, feel free to shoot me an email or stop by my office.

585-475-7486

Areas of Expertise

Currently Teaching

MATH-181
4 Credits
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.
MATH-605
3 Credits
This course is an introduction to stochastic processes and their various applications. It covers the development of basic properties and applications of Poisson processes and Markov chains in discrete and continuous time. Extensive use is made of conditional probability and conditional expectation. Further topics such as renewal processes, reliability and Brownian motion may be discussed as time allows.
MATH-505
3 Credits
This course explores Poisson processes and Markov chains with an emphasis on applications. Extensive use is made of conditional probability and conditional expectation. Further topics, such as renewal processes, Brownian motion, queuing models and reliability are discussed as time allows.

Select Scholarship

Journal Paper
Vega‚ÄźWesthoff, Ben, et al. "Impacts of Observational Constraints Related to Sea Level on Estimates of Climate Sensitivity." Earth's Future 7. 6 (2019): 677-690. Web.
Brady, E., et al. "The Connected Isotopic Water Cycle in the Community Earth System Model Version 1." Journal of Advances in Modeling Earth Systems 11. 8 (2019): 2547-2566. Web.
Invited Article/Publication
Wong, Tony E. "Lasting coastal hazards from past greenhouse gas emissions." Proceedings of the National Academy of Sciences. (2019). Web.