Applying Machine-Learning Techniques to the Biopharmaceutical Industry

Faculty Supervisor: Andrew W. Lo Project description: This project applies machine-learning techniques to evaluate the key factors driving biopharmaceutical companies. It will entail using a large database to extract data and helping a small team develop statistical models that can be trained using the features/response variables extracted from the database. Prerequisites:· Strong SQL skills· Strong statistical inference/machine-learning skills; well-versed in supervised learning, predictive models, and model testing techniques (e.g., cross validation)· Ability to commit 10-20 hours per week Contact: If interested, please send your resume and unofficial grade transcript to Jayna Cummings, jcummin@mit.edu. 


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