Tony Wong Headshot

Tony Wong

Assistant Professor

School of Mathematics and Statistics
College of Science

585-475-7486
Office Hours
Fall 2023: Tuesday 12:30-2, Thursday 2-3:30, and by appointment
Office Location

Tony Wong

Assistant Professor

School of Mathematics and Statistics
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 potentially 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 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

Select Scholarship

Journal Paper
Childs, Meghan Rowan and Tony E Wong. "Assessing parameter sensitivity in a university campus COVID-19 model with vaccinations." Infectious Disease Modelling 8. 2 (2023): 374-389. Web.
Tedeschi, Mason N., et al. "Improving models for student retention and graduation using Markov chains." PLoS ONE 18. 6 (2023): 1-14. Web.
Wong, Tony E., et al. "Evidence for Increasing Frequency of Extreme Coastal Sea Levels." Frontiers in Climate. (2022): 1-12. Web.
Hough, Alana and Tony E Wong. "Analysis of the Evolution of Parametric Drivers of High-End Sea-Level Hazards." Advances in Statistical Climatology, Meteorology and Oceanography. (2022): 117–134. Web.
Wong, Tony E., et al. "MimiBRICK.jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework." Journal of Open Source Software 7. 76 (2022): 4556. Web.
Srikrishnan, Vivek, et al. "Uncertainty analysis in multi-sector systems: Considerations for risk analysis, projection, and planning for complex systems." Earth’s Future 10. (2022): 15. Web.
Rennert, Kevin, et al. "Comprehensive Evidence Implies a Higher Social Cost of CO2." Nature. (2022): 1-42. Web.
Wong, Tony E., et al. "Sea Level and Socioeconomic Uncertainty Drives High-End Coastal Adaptation Costs." Earth's Future 10. (2022): e2022EF003061. Web.
Wong, Tony E, et al. "Evaluating the Sensitivity of SARS-CoV-2 Infection Rates on College Campuses to Wastewater Surveillance." Infectious Disease Modelling 6. (2021): 1144-1158. Web.
Wong, Tony E, et al. "A Tighter Constraint on Earth-System Sensitivity from Long-Term Temperature and Carbon-Cycle Observations." Nature Communications 12. (2021): 1-8. Web.
Vega‐Westhoff, 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. "If Everyone on Earth Sat in the Ocean at Once, How Much Would Sea Level Rise?" The Conversation. (2021). Web.
Wong, Tony E. "Lasting Coastal Hazards from Past Greenhouse Gas Emissions." Proceedings of the National Academy of Sciences. (2019). Web.

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-251
3 Credits
This course introduces sample spaces and events, axioms of probability, counting techniques, conditional probability and independence, distributions of discrete and continuous random variables, joint distributions (discrete and continuous), the central limit theorem, descriptive statistics, interval estimation, and applications of probability and statistics to real-world problems. A statistical package such as Minitab or R is used for data analysis and statistical applications.
MATH-495
1 - 3 Credits
This course is a faculty-directed project that could be considered original in nature. The level of work is appropriate for students in their final two years of undergraduate study.
MATH-790
0 - 9 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
MATH-791
0 Credits
Continuation of Thesis

In the News