Kenneth Eugene Paik

Kenneth Paik is a clinical informatician focused on quality improvement in healthcare through technology innovation, combining a multidisciplinary background in medicine, machine learning, business management, and technology strategy. As a Research Scientist at the MIT Laboratory for Computational Physiology his work encompasses the secondary analysis of clinical health data, taking a collaborative (academic and industry) and multidisciplinary (clinicians and data scientists) approach to build high-resolution datasets for the practical application of machine learning in healthcare. His global health work through MIT Sana leverages mobile technology innovation and digital health to bridge immense gaps in resources or infrastructure, including for example, pilot projects for NCD management mHealth for refugee and displaced populations in Syria and Lebanon.

Sort options

Collaborative Data Science for Healthcare (edX)

Data and learning should be at the front and center of healthcare delivery. In this course, we bring together computer scientists, health providers and social scientists collaborating to improve population health by analyzing and mining data routinely collected in the process of patient care.