Mhd Hasan Al Mekdash

Mhd Hasan Al Mekdash serves as Assistant Professor in the Department of Medicine at Baylor College of Medicine, Houston, with dual roles as Biostatistician/Quantitative Methodologist at Michael E. DeBakery VA Medical Center and Biostatistician/Data Scientist in Radiation Oncology. His work bridges health services research, spatial epidemiology, and medical education evaluation.

His educational foundation includes:

• PhD from Texas Tech University (2018)
• MS from Texas Tech University (2016)
• MA from Texas Tech University (2014)

Dr. Al Mekdash employs machine learning, biostatistics, and GIS/spatial statistics to investigate social determinants of health—particularly environmental impacts on veteran populations—and infectious disease geography. His medical education research focuses on curriculum design, equity, and mentoring to combat student burnout. This dual-track approach integrates quantitative methods across clinical and educational contexts.

His 15 most recent publications reveal three dominant themes: veteran health outcomes (47% of articles), cancer research (33%), and medical education assessment (20%). Spatial modeling techniques appear in 60% of studies, demonstrating methodological consistency across diverse health domains.

His professional recognition includes:

• Accredited Professional Statistician (PStat®) certification from American Statistical Association (2023-2029)

Through the Center for Innovations in Quality, Effectiveness, and Safety (IQuESt), he leads biostatistical initiatives evaluating healthcare delivery systems. His VA collaborations focus on toxic exposure registries while Radiation Oncology work develops predictive cancer models. Current projects likely involve geospatial veteran health mapping and medical curriculum analytics, though specific grants aren't detailed.

He operates within Baylor's IQuESt center and VA Medical Center research teams, providing biostatistical leadership across departments. His office is located at 2450 Holcombe Blvd, Houston (Room 204), supporting interdisciplinary health services research through quantitative methodology expertise.