Employing Machine- and Deep-Learning Approaches Using Computationally-Derived Electronic Health Record Data

January 26, 2021, 12:00 pm — 1:00 pm

Due to the COVID-19 outbreak, this seminar will be running via Zoom.

Join Zoom Meeting: SAIM Seminar Series – Dr. Randi Foraker

The Institute for Informatics (I2) and the Division of Pulmonary & Critical Care Medicine are co-organizing the Symposium for Artificial Intelligence in Medicine (SAIM) seminar series. This symposium is designed to be a forum for the discussion of revolutionary healthcare technologies and the ongoing development of innovative healthcare technologies across our campuses, with the goal of uniting people with similar interests and fostering collaboration and growth. We welcome clinicians and trainees from all backgrounds and at all levels who are interested in learning more about translational artificial intelligence, machine learning and healthcare information technology. This year, our first seminar will be delivered by Dr. Randi Foraker, on January 26, 2021.

In her role as Director of the Center for Population Health Informatics (CPHI), Randi Foraker, PhD, aims to improve the health of the community through data and support data access, analytics, and dissemination efforts. As Director of the Public Health Data and Training Center for the Institute for Public Health, Dr. Foraker further argets amplification of public health knowledge through data sharing, strategic partnerships with the community, and the training of future public health leaders. During the COVID pandemic, she has served as PI of the COVID umbrella IRB leveraging electronic health record data at Washington University in St. Louis and works closely with investigators who conduct research using data from our COVID Data Commons maintained by I2. Dr. Foraker chairs the Epidemiology Strike Force and convenes members of the metropolitan St. Louis area and beyond to assist with their data architecture, management, and analytic needs during the pandemic.

Please contact Becky Light, light@wustl.edu, with any questions.