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Dr. Belinda Apka
Associate Professor of Chemical Engineering, University of Tennessee Ph.D. with Advanced Chemical Engineering Practice, Chemical Engineering, University of Cambridge
M.Eng. (Hons.), Chemical Engineering, University of Cambridge
B.A., Chemical Engineering, University of Cambridge
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At a time when many are wrangling with biological 'big data, there remain important problems that are fundamentally data limited - questions for which there is little quantitative data, and further data collection may be hampered by limited resources, ethical constraints, or simply a lack of clarity as to which measurements are most likely to shed light on phenomena of interest. Mathematical modeling can make impactful contributions in these contexts by maximizing the value of your existing knowledge and operationalizing data from disparate sources to build quantitative models. In this presentation, I will describe how mathematical models can be used to gain new knowledge from 'tiny data'.
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