Unertl and Malin Awarded a Research Experiences for Undergraduates (REU) Grant from the National Science Foundation
Jacob Eichenberger
Patrick Wu
Patrick Wu – received his BS from Cornell University (May 2011). Patrick is a MSTP, Medical Scientist Training Program, student. Patrick is a PhD student funded from the NLM training grant.
Grayson Ruhl
Grayson Ruhl – received his BA in Computer Science from The University of the South (May 2017). Grayson was a summer intern here Summer 2015 and mentored by Brad Malin. Grayson is a PhD student funded from the BIDS training grant.
Kimberley Cox
Kimberley (Kim) Kondratieff – received MS in Statistics from San Jose State University (May 2016). Kim was a summer intern here Summer 2015 and mentored by Tom Lasko. Kim is a PhD student funded from the BIDS training grant.
Alvin D. Jeffery, PhD, RN, CCRN, FNP-BC
Dr. Alvin Jeffery is an Assistant Professor of Biomedical Informatics and Nursing at Vanderbilt University. He completed his PhD (Nursing Science & Health Services Research) at Vanderbilt University’s School of Nursing in 2017 and a Medical Informatics Post-Doctoral Fellowship with the U.S. Department of Veterans Affairs and Vanderbilt University’s Department of Biomedical Informatics in 2019. Dr. Jeffery previously held an AHRQ/PCORI K12 focused on Learning Healthcare Systems and implementation science. He is currently funded by: (1) an NIH/NIDA Avenir DP1 to develop precision phenotypes for substance use disorders with the aim of accelerating genetics studies and (2) the Betty Irene Moore Fellowship for Nurse Leaders and Innovators focused on customizing electronic health record systems for a wide range of users and settings. He has a background in pediatric critical care nursing and as a staff educator at Cincinnati Children’s Hospital Medical Center. He holds board certifications in pediatric critical care nursing and as a Family Nurse Practitioner. He is a former Emerging Leader with the Alliance of Nursing Informatics.
Expertise: Dr. Jeffery focuses on the design, development, and evaluation of probability-based clinical decision support tools. He leverages machine learning and data science techniques for developing prediction models with an emphasis on predicting outcomes that are incompletely ascertainable. He also incorporates qualitative methods for exploring how to implement CDS tools within clinicians’ cognitive and physical workflows. In addition to his scientific talks, he has delivered numerous presentations on pediatric critical care topics as well as leadership and professional development skills. He has written 4 books and more than 35 journal publications. For examples of Dr. Jeffery’s research products or to hear him talk about some of his work, you can explore his personal website. To discover resources for learning more about data science, you can explore his nursing data science website.
Other Links:
Bluesky: https://bsky.app/profile/nursealvin.bsky.social
Google Scholar
MyBibliography
Douglas Ruderfer, PhD
Brian Rothman, MD
Robert Freundlich, MD, MS, MSCI, FASA, FCCM
Education & Training
MSCI, Vanderbilt University, Nashville, TN (2020)
Fellowship, University of Michigan, Ann Arbor, MI (2016)
Research Fellowship, University of Michigan, Ann Arbor, MI (2012)
Residency, University of Michigan, Ann Arbor, MI (2015)
MD, Baylor College of Medicine, Houston, TX (2010)
MS in Biotechnology, Johns Hopkins University, Baltimore, MD (2007)
BA in German Literature, Johns Hopkins University, Baltimore, MD (2005)