Javad Razjouyan

Javad Razjouyan, Ph.D., is a tenure-track Assistant Professor in the Department of Medicine at Baylor College of Medicine (Houston, TX), with secondary appointments at the Institute for Clinical & Translational Research (ICTR) and the Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. He serves as Director of the Artificial Intelligence in Health Lab (AIH-Lab) and co-Director of the VA's Big Data Scientist Training Enhancement Program (BD-STEP) at the Houston site.

Education includes:

• BSc in Biomedical Engineering, Amirkabir University of Technology (2004)
• MSc in Biomedical Engineering, Shahed University (2007)
• PhD in Biomedical Engineering, Amirkabir University of Technology (2013)
• Postdoctoral Fellowship, Baylor College of Medicine (2017)
• BD-STEP Fellowship, Michael E. DeBakey VA Medical Center (2019)

Dr. Razjouyan's research integrates artificial intelligence, machine learning, and natural language processing to address clinical challenges in sleep medicine, frailty, heart failure, and health disparities. His work leverages large-scale EHR data from veteran populations to develop predictive models and digital biomarkers. Primary research domains include:

• AI/ML algorithms for mortality risk stratification
• NLP extraction of clinical parameters from unstructured text
• Health disparities in sleep disorders and respiratory health
• Frailty trajectory modeling in chronic diseases

His publications (2023-2025) demonstrate strong focus on sleep physiology, AI-driven phenotyping, and veteran health disparities, with recurring themes of mortality risk prediction, NLP-aided diagnostics, and COVID-19 impact analyses using national VA datasets.

Awards include:

• Young Investigator Award, Gerontological Society of America (2014)
• Junior Investigator Travel Award, American Heart Association (2019)

Current grants:

• NIH-NHLBI K25HL152006: Developing Frailty Trajectory for Heart Failure Patients Using Advanced Machine Learning (2020-2025)
• AIM-AHEAD OD032581-01S1: Developing AI/ML Algorithm to Address Health Disparity in Cancer Patients

He mentors three postdoctoral fellows in the AIH-Lab, focusing on NLP applications in sleep medicine, dementia, and cardiovascular disease.