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QH

Qais Hatim

FDA, United States
Data Scientist, OTS, CDER
In my role as data scientist at U.S. Food and Drug Administration (FDA) I am leading research in artificial intelligence/machine learning, and statistical/operational modeling. I am applying advanced AI/ML, statistical modeling and scientific computing techniques to computationally intensive tasks that are encountered in regulatory and scientific applications. I am utilizing various statistical and operation research methodologies such as machine learning and data mining algorithms, natural language processing (NLP) techniques, and deep learning methodologies to extract meaning, patterns and hidden structures in structured/unstructured data; identifying the most feasible approach to analyze problems and recommend technology based solutions.
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