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Email

javad.razjouyan@bcm.edu

Positions

Assistant Professor (tenure track)

Medicine-Epidemiology & Population Science
Institute for Clincal & Transitional Research (ICTR)
²ÝÁñÉçÇøÈë¿Ú
Houston, TX US

co-Director, Houston Site

Michael E. DeBakey VA Medical Center
Big Data Scientist Training Enhancement Program (BD-STEP)

Director

Institute for Clinical and Translational Research (ICTR) & Center for Innovations in Quality, Effectiveness and Safety (IQuESt)
Artificial Intelligence in Health Lab (AIH-Lab)

Addresses

2450 Holcombe Blvd Suite 01Y (Office)

Houston, TX 77021
United States
Phone: (713) 794-8601

ICTR (Office)

One Baylor Plaza, Suite D
Houston, TX 77030
United States
Phone: (713) 798-7928
javad.razjouyan@bcm.edu

Education

BSc from Amirkabir University of Technology

09/2004 - Tehran, Tehran Iran

Biomedical Engineering

MSc from Shahed University

09/2007 - Tehran, Tehran Iran

Biomedical Engineering

PhD from Amirkabir University of Technology

02/2013 - Tehran, Tehran Iran

Biomedical Engineering

Postdoctoral Fellowship at ²ÝÁñÉçÇøÈë¿Ú

10/2017 - houston, Texas United States

Fellowship at BD-STEP MEDVAMC

05/2019 - houston, Texas United States

Professional Statement

Javad Razjouyan, Ph.D., is an Assistant Professor (tenure track) of medicine for Health Services Research and the Institute for Clinical & Translational Research (ICTR) at ²ÝÁñÉçÇøÈë¿Ú (BCM). He is also a health research scientist at Implementation Science & Innovation Core, Center for Innovations in Quality, Effectiveness and Safety (IQuESt) at Michael E. DeBakey VA Medical Center. He is faculty member of the Big Data-Scientist Training Enhancement Program (BD-STEP) of the Department of Veterans Affairs (VA) and the National Cancer Institute (NCI) and he is adjunct Assistant Professor of Epidemiology at UTHealth Houston School of Public Health.
Dr. Razjouyan serving as the Director of Artificial Intelligence in Health Lab (AIH-Lab) at BCM and co-director of BD-STEP advanced fellowship program, Houston site.
He has published more than 40 scientific publications in peer-reviewed journals, more than 50 conference proceedings or abstracts, three filled patents, and a textbook for undergraduate students in biomedical engineering. He received a young investigator award from the Gerontological Society of America conference in 2014 as digital biomarker development. He also won a junior investigator travel award at the American Heart Association - Quality of Care & Outcome Research 2019 as he developed an EMR based frailty index by machine learning techniques. He mentored three advanced fellows at the BD-STEP program on used of EMR and performing advanced machine learning algorithms. Currently, He is mentoring three advanced post-doctoral fellows at the AIH-lab. His post-doctoral fellows use artificial intelligence (AI), machine learning (ML) algorithms, and natural language processing (NLP) tools on various medical fields such as sleep medicine, psychology, dementia, heart failure, and frailty.

Websites

Selected Publications

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Funding

Developing Frailty Trajectory for Heart Failure Patients Using Advanced Machine Learning - #1K25HL152006-01

(07/01/2020 - 07/01/2025) NIH-NHLBI

Developing AI/ML algorithm to address health disparity in Cancer Patients - #OD032581-01S1

Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD)