Data Analytics and Why Modelling Matters


Join the Department of Food Science and Nutrition for the first event in their spring 2021 seminar series: a guest lecture by Dr. Clare Thorp, senior vice president of Creme Global.

The evolution in data generation and the ability to create, store, and share data has increased exponentially over the last decade. The question now is not so much ‘Do we have any data?’ but ‘What do we do with all of our data?’ This presentation provides an overview of how the capture, integration, and modeling of data can provide opportunities to better collaborate, understand, and utilize existing and new datasets. Using examples, Thorp will take the audience through the journey from data capture, data analytics, and data integration into different types of mathematical models that are relevant to addressing the food safety and nutrition questions faced by scientists and regulators. The presentation is intended to acquaint the audience with the scientific discipline of data analytics and modeling and their practical utilization within a scientific and regulatory context.

Dr. Clare Thorp’s career in the United States and European Union included positions as a tenured academic, a senior civil servant, a diplomat, and in senior leadership positions in both private companies and trade associations. Her expertise is underpinned by a degree in agricultural science, a Ph.D. in animal science, a postgraduate certificate in European law, and a master’s degree in economics and policy. Clare can also drive a tractor and holds a Certificate in Agriculture from Gurteen Agricultural College. Since 2010, Clare has held leadership positions in trade associations and non-profits, including CropLife America, the Biotechnology Innovation Organization, and the International Life Sciences Institute of North America. She is experienced working with corporate and technical boards. As the SVP of Creme Global, she works with companies and government agencies to support their decision-making processes through the harnessing of big data and the deployment of advanced computational tools.

Join the event by phone: 234.759.0427, PIN: ‪629 569 265#





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