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Rational Drug Design: Principles and Applications

Rational drug design to find new drugs to treat a variety of diseases plaguing humans is a vision that is quickly becoming a practically achievable goal with the advent of computer-aided drug design methods. This course exposes the student to the principles and applications of computational drug design, including an in-depth hands-on introduction to cutting-edge tools.


Machine Learning for Biomedical Applications

The goal of this course is to introduce the student to the applications of machine learning tools to biomedical problems. The course will cover an overview of a wide range of machine learning tools (regression, classification, decision trees, random forests, clustering, artificial neural networks, and convolutional neural networks), biomedical data sets (image data, omics data and patient records) and disease applications (cancer, cardiovascular disease, diabetes, neurological diseases, and infectious diseases).

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