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.
In the News
November 4, 2022
NSF grant funds RIT postdoctoral fellows in STEM education research
The National Science Foundation has awarded RIT $1.2 million for a cohort of four postdoctoral fellows to conduct STEM discipline-based education research. Each fellow will work with two mentors, encouraging cutting-edge research at the interface of traditional disciplines.
October 17, 2022
RIT researcher developing new mathematical techniques to speed up biomechanical imaging
Assistant Professor Olalekan Babaniyi is developing new mathematical techniques that could lead to improvements in applications ranging from medical imaging to predicting how fast ice flows into the ocean.
September 1, 2022
Scientists find the social cost of carbon is more than triple the current federal estimate
After years of robust modeling and analysis, a multi-institutional team including researchers from RIT has released an updated social cost of carbon estimate that reflects new methodologies and key scientific advancements.
April 20, 2023
Childs authors paper
January 20, 2023
Wong authors article
September 12, 2022
Wong lead author on sea-model paper
August 19, 2022
Wong receives grant for work on modeling coastal risk