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Niall Mangan is an Assistant Professor in the Department of Engineering Sciences and Applied Mathematics at Northwestern Engineering. His research focuses on data-driven mechanistic modeling of complex systems, aiming to link the speed of automation in model selection with the explanatory power of bottom-up mechanistic modeling. Mangan employs statistical and information theory methods to evaluate models based on empirical data, striving to develop mechanistic models that can optimize engineering solutions effectively. His work extends to understanding the structure and dynamics of biological networks, emphasizing uncertainty quantification in increasingly complex metabolic pathways. Mangan is particularly fascinated by the spatial organization of cells and its impact on biochemical pathways, pushing the boundaries of bioengineering to enhance the production of high-value products such as biofuels and pharmaceuticals. His passion for renewable energy systems also informs his work in systems-level modeling. Mangan's interest in biological networks stems from a desire to bioengineer living systems capable of functioning as bio-fuel factories.
Department of Applied Mathematics, University of Washington • Seattle, WA
Taught and supervised students in applied mathematics.
Institute for Disease Modeling • Bellevue, WA
Contributed to disease modeling research.
School of Engineering, Brown University • Providence, RI
Delivered lectures on engineering topics.
Photovoltaics Research Lab, MIT • Cambridge, MA
Conducted research on photovoltaics.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.