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Marino, who has earned their MBA and SM in civil and environmental technology, completed their SIX-Month-LGO internship project in Amgen, Inc. For their project, Marino developed a new prediction framework through machine learning to the effects of RAW To evaluate material variability in the performance of several commercial biological processes. Find this solution is a competitive advantage for biopharmaceutical leaders. The results of their analysis showed an average accuracy of 80% on predictions for new data. In addition, the framework developed by it is the starting point of a new method in terms of material variability understanding in the manufacturing process for the pharmaceutical industry.
Every year, the theses of faculty advisers are nominated and then checked by LGO alumni readers to determine the winner. TheSeberater and Professor Roy Welsch explained Emi "the understood variation in both a statistical sense as well as in the production in the biopharmaceutical industry and leave in a form that can use and expand others. We hope that you experience your experiences with us in the future in the future LGO alumni re-revenues will share and on DPT visits. "
Marino, who has earned her bachelor's student art technology of the National University of Mar del Plata in Argentina, has adopted a job offer with Amgen in Puerto Rico.