About Our Courses

  • Infrastructure and Ops

    Learn about the computing needs and how to effectively build, manage, and deploy critical applications in health care and the life sciences.

  • Data and Standards

    Learn how to use real-world data from the electronic health record and integrate with clinical trial data to create meaningful evidence and insights. Understand and be able to work with common health care data standards, including HL7, FHIR, and OMOP.

  • Analysis & Communication

    Learn how to constructively analyze and interpret real-world data to communicate results. Understand key regulatory requirements for documentation, version control, and validation of data, analytics, and machine learning.

Our Instructors

Wade Schulz, MD, PhD

Physician Scientist, Clinical Informaticist

Dr. Schulz is an Assistant Professor of Laboratory Medicine at Yale School of Medicine. He received his PhD in Microbiology, Immunology, and Cancer Biology and MD from the University of Minnesota and is triple board certified in Clinical Pathology, Blood Banking and Transfusion Medicine, and Clinical Informatics. He is the Director of Informatics for the Department of Laboratory Medicine and Medical Director of Data Science for Yale New Haven Health System. Dr. Schulz has over 20 years’ experience in software development with a focus on enterprise system architecture and has a research interests in the management of large, biomedical data sets and the use of real-world data for predictive modeling. At Yale, he has led the implementation of a distributed data analysis and predictive modeling platform, for which he received the Data Summit IBM Cognitive Honors award. Other projects within his research group include computational phenotyping and the development of clinical prescriptive models for precision medicine initiatives. His clinical areas of expertise include molecular diagnostics and transfusion medicine.

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