Positions
- Assistant Professor (tenure track)
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Medicine-Epidemiology & Population Science
Institute for Clincal & Transitional Research (ICTR)
ÌÇÐÄÊÓƵ of Medicine
Houston, TX, US
- co-Director, Houston Site
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Michael E. DeBakey VA Medical Center
Big Data Scientist Training Enhancement Program (BD-STEP)
- Director
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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)
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Houston, TX, 77021
United States
Phone: (713) 794-8601
- ICTR (Office)
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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 ÌÇÐÄÊÓƵ of Medicine
- 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 ÌÇÐÄÊÓƵ of Medicine (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.
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
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Developing Frailty Trajectory for Heart Failure Patients Using Advanced Machine Learning
#1K25HL152006-01 - (07/01/2020 - 07/01/2025)
- NIH-NHLBI
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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)
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