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Network Analysis for Applications in Biology
January 20 | 3:30 pm - 4:45 pm EST
DESCRIPTION: The world we live in can be characterized as a complex system of interconnected entities. One way to describe these types of systems are through networks, or a collection of objects that are connected to one another in same manner. The field of graph theory in mathematics provides the basic ideas for network
analysis, which is a method to understand and characterize these complex systems. At this café participants will learn about the fields of graph theory and network analysis, along with real world biological applications of networks. Examples including neural networks, forest fires, and spread of disease will be showcased as well as general models that apply to these examples and how to adjust them for various conditions.
ABOUT OUR SPEAKER
Mariah Boudreau is a Ph.D. student in the Mathematical Sciences program at UVM. She is also a National Science Foundation trainee in the Quantitative and Evolutionary STEM Traineeship (QuEST), along with member of the Computational Story Lab, and the Laboratory of Structure and Dynamics at the Complex Systems Center at UVM. She majored in Mathematics at Saint Michael’s College for her undergraduate degree in 2019. Her research interests are in network analysis for biology applications, specifically spread of disease and networks in the human body.
What is a Virtual Teen Science Café? It is a free, fun way for teens to explore science, engineering and technology with local scientists, engineers and technology experts. Teens will “meet a scientist”, learn about their work, and be able to participate in informal discussions.