Dr. Mohammed Al-Garadi is a Research Assistant Professor in the Department of Biomedical Informatics at Vanderbilt University Medical Center. He previously worked as a Postdoctoral Researcher at Emory University, focusing on natural language processing (NLP), machine learning (ML), deep learning and large language models (LLMs) for healthcare applications. His research focuses on extracting insights from unstructured healthcare data, particularly unstructured notes, using NLP and machine learning techniques. By developing modules and pipelines, he has created systems to efficiently process diverse healthcare data streams. He worked on NIH and CDC grants involving the application of NLP and machine learning to analyze large-scale clinical narratives and public health data. 

To date, Dr. Al-Garadi has authored and co-authored over 50 papers in high-impact scientific journals. Currently, Dr. Al-Garadi is exploring the potential of NLP, ML, and LLMs on unstructured EHR clinical notes for various healthcare applications. These include extracting, predicting, and detecting causes of death, postoperative infections, COPD exacerbations, kidney disease, peripheral artery disease, and tele-dermatology conditions and outcomes. He is working on projects supported by the NIH, Department of Veterans Affairs, and FDA.

Twitter: https://twitter.com/AliAlgaradi
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Julie received her doctoral degree April 2021 from Belmont University. She is accepted to the VA Postdoctoral Fellowship and is pursuing a Master’s degree in Biomedical Informatics.

Joseph Vento obtained his undergraduate degree in Electrical and Computer Engineering at Rice University, and then went to medical school and completed his Internal Medicine residency at UT Southwestern.  He worked for a year as a hospitalist at Parkland Hospital during the first waves of the COVID-19 pandemic, and then moved to Nashville in 2021 to start his Medical Oncology fellowship at VUMC and pursue concurrent training in biomedical informatics.  He began his postdoctoral master’s degree in 2022 on a National Library of Medicine T15 grant (completed program in 2024), with the goal to develop cancer informatics tools that leverage the large amount of digital data in cancer care to improve patient outcomes.

Matthew S. Krantz, MD, is a postdoctoral research fellow at VUMC pursuing a master's in Biomedical Informatics. He completed his undergraduate and medical school studies at the University of North Carolina at Chapel Hill. At VUMC, he completed his combined internal medicine/pediatrics residency in 2020 and allergy/immunology fellowship in 2022. He is currently pursuing a MS degree in Biomedical Informatics at Vanderbilt University. His primary research interest is leveraging biomedical informatics to study severe immune-mediated drug reactions.