Research + Projects

Research Interests: Applied Mathematics, Mathematical Biology, Data Science, Machine Learning, Ordinary Differential Equations, Dynamical Systems, Game Theory, Ethics, Social Justice.

My research interest stems from a deep desire to understand and build a better world. 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.

Currently, I am interested in understanding the evolution of cooperation in groups, and how we can use STEM to tackle problems in sustainability, climate change, and social justice.

Created and uncopyrighted by G. Coeckelbergh. All rights released.

Data Science Projects

Book Recommendations

Reducing Traffic Mortality

Giving Blood Donations

Past Research

I tackle problems in biology concerning the evolution of disease and epidemics. My most recent 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.

Research 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)

Many of these projects are described in more detail in my dissertation Mathematical Models of Daphnia Epidemics.

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 (2019).

  • Evaluating models for social group competition (2019).

  • Modeling prevalence of JUUL and other E-CigareTte use (2018).

  • Genetic algorithms to model molecular clocks in Python (2018).

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