I am an Associate Professor of Mathematics at Fitchburg State University in Fitchburg, MA, and a Research Scientist with Ocean Associates, Inc. in support of the National Oceanic and Atmospheric Administration's (NOAA) Northeast Fisheries Science Center out of Woods Hole, MA.
My research is in biological modeling with an emphasis on population modeling, infectious disease modeling, and distribution modeling.
RECENT & UPCOMING PRESENTATIONS
JMM Special Session on Advances in Modeling the Ecology of Infectious Diseases:
"Modeling the Effect of HIV/AIDS Stigma on HIV Infection Dynamics in Kenya"
January 8, 2021
JMM Special Session on Dynamics of Infectious Diseases: Ecological Models Across Multiple Scales:
"A Vaccination Model for COVID-19 in South Africa"
January 6, 2022
The Christie Lecture at the MAA Northeast Section Fall Meeting
"Incorporating Geospatial Data into Mathematical Models: Examples, Ideas, and Pictures!"
November 18, 2022
Simulating Habitat Preferences and Stock Assessment of Atlantic Fish Under the Pressures of Climate Change
Fish stocks throughout the Northeast United States continental shelf are managed by the National Oceanic and Atmospheric Administration’s (NOAA) Northeast Fisheries Science Center (NEFSC) in Woods Hole, Massachusetts. Due to a combination of climate change and shifts in circulation, the Northeast United States continental shelf has experienced rapid warming in recent decades, resulting in a shift in spatial distributions of many species. I currently serve as a Research Scientist with NOAA’s NEFSC to model the impact of climate change on the spatial preferences of fish stocks in our region and assess the ability of NOAA's bottom trawl survey to monitor population trends under these changing conditions.
A Vaccination Model for COVID-19 in South Africa
In the absence of a vaccine, governments mandated protocols such as social distancing, lockdowns, and other related policies to mitigate the spread of the disease. Our Masamu Advanced Study Institute (MASI) subgroup modeled the ongoing outbreak with a focus on how government policies and widely available vaccines can impact infection dynamics. Using our estimated parameters and resulting simulations in combination with the timing of government policies, we are able to assess the impact of certain non-vaccine intervention strategies.