Our research interests lie in the area of Machine learning, Big biomedical data, and Clinical genomics. Currently, there is a tremendous amount of clinical data that is being gathered from a variety of sources and types. Including structured and unstructured data, Electronic Health Records (EHR), Bio molecular, Genetic, Wearables, and other types of data. Therefore, there is a need for developing new machine learning and deep learning methods that can make new insights from this type of data, in order to advance toward personalized medicine.
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