Previous Research
During my graduate studies, my research focused on disease ecology and how the interactions among hosts, parasites, and the environment play a role in the spread of disease. Here you can read about my thesis, Mathematical Models of Daphnia Epidemics, and other research related interests.
Graduate Research
My graduate work focused on the disease dynamics of the Daphnia-Metschnikowia system in collaboration with the Cáceres Lab and Zoi Rapti (advisor). Stemming from the broader work of mathematical epidemiology, I use ordinary and partial differential equations to study how quantities such as disease prevalence and the basic reproduction number change due to variations in the host and environment.
Projects:
Stochastic Models for Recurrent Epidemics (2019)
The Role of Recovery in Daphnia disease dynamics (2018)
Behavioral Adaptation in Daphnia populations (2017)
Host polymorphism in Daphnia epidemics (2015)
Evolutionary Dynamics of Virulence (2014)
Undergraduate Research Mentoring
At the Illinois Geometry Lab, I worked closely with Dr. Sara Clifton and undergraduate students in semester-long projects using Python and Matlab.
Visualizing Mathematics and its Applications
Evaluating models for social group competition
Modeling prevalence of JUUL and other E-Cigarette use
Genetic algorithms to model molecular clocks in Python
Areas of interest: Data Science, Machine Learning, Applied Mathematics, Mathematical Biology, ODEs, Dynamical Systems, Game Theory, Ethics, Social Justice, Education.