Draft:Jennifer L. Hall (physiologist)

Jennifer L. Hall is Chief of Data Science and Analytics and co-director of the Institute for Precision Cardiovascular Medicine at the American Heart Association (AHA). She is also an adjunct Professor in the Department of Medicine at the University of Minnesota and Associate Editor in Chief of Journal of Cardiovascular Translational Research. Along with this, she is co-principal investigator AnVIL (the Analysis, Visualization, and Informatics Lab Space at the National Human Genome Reseach Institute (NHGRI). Although her training is as a physiologist, much or her research is in data science and precision medicine applications to medicine.

Education
Hall earned her Ph.D. in physiology from the University of California Berkeley.

She completed postdoctoral fellowships at Stanford and Harvard School of Medicine.

Career and Research
She is the past Chair and presently the Vice Chair of the Functional Genomics and Translational Biology Council of the American Heart Association where Dr. Hall has helped to establish a research program that includes genomics in terms of heart failure at the University of Minnesota. She was also the founding editor-in-chief as well as presently the associate editor in chief of the Journal of Cardiovascular Translational Research.

Published Medical Research
=== Call to Action for Cardiovascular Disease in Women: Epidemiology, Awareness, Access, and Delivery of Equitable Health Care: A Presidential Advisory from the American Heart Association ===

Open Data Challenge to Examine the Impact of Social Determinants of Health on Stroke.
The article reviews social determinants from the Stroke Data Challenge for researchers and clinicians. Stroke data was compared with data from the United States Health Disparities Project of the Institute for Health Metrics and Evaluation. The project used data from the National Center for Health Statistics, the United States Census, and other sources to provide estimates of health risks, and socioeconomic conditions over time.

=== Novel Methods of the Precision Medicine Platform: A Path to Tackling Heart Disease ===

=== American Heart Association Precision Medicine Platform Addresses Challenges in Data Sharing === A review of the AHA Precision Medicine Platform for medical research and the challenges of data sharing. Solutions to challenges, including those during the COVID-19 pandemic, are presented.

Trends in Patient Characteristics and COVID-19 In-Hospital Mortality in the United States During the COVID-19 Pandemic
Mortality rates were discovered to have been lower in specific locations in the United States. The cohort study found that mortality rates were highest between March and April of 2020 and then decreased by one third in June, remaining at that level until November. The 21 authors concluded that the difference in rates of mortality were persistent after adjusting for age, sex, medical history, and COVID-19 disease severity.

=== Machine Learning–Based Models Incorporating Social Determinants of Health vs Traditional Models for Predicting In-Hospital Mortality in Patients with Heart Failure ===

=== Changes in Distribution of Severe Neurologic Involvement in US Pediatric Inpatients With COVID-19 or Multisystem Inflammatory Syndrome in Children in 2021 vs 2020 ===

=== Fueled by Data, Cardiology Ripe for Precision Medicine Research ===