D. Keith Williams

D. Keith Williams serves as Professor and Vice-Chair of Education in the Department of Biostatistics at the University of Arkansas for Medical Sciences (UAMS), with dual appointments in the College of Medicine and College of Public Health. He additionally directs Biostatistics and Data Innovation at ACNC, demonstrating leadership in academic administration and research infrastructure.

His academic foundation includes:

• B.S. in Mathematics Education from University of Central Oklahoma
• M.S. in Statistics from Oklahoma State University
• M.P.H. from University of Oklahoma
• Ph.D. in Biostatistics from University of Oklahoma

Dr. Williams' research centers on advanced statistical methodologies including linear models, graphical techniques, and simulation approaches. His current focus targets efficient analysis of complex multivariate datasets from microbiome, metabolic, genetic, and whole-organism studies. This work addresses critical challenges in handling high-dimensional biological data where traditional methods fail, particularly in modeling multiple interdependent responses common in modern biomedical research.

Analysis of his 2024-2025 publications reveals a strong interdisciplinary pattern spanning pediatric obesity, pregnancy complications, toxicology, and nutritional science. His biostatistical expertise consistently enables novel insights across diverse domains—from cannabis extract pharmacology to rheumatoid arthritis immunology—by developing specialized analytical frameworks for complex datasets. A notable trend involves translating methodological innovations into clinical applications, especially for maternal-child health and metabolic disorders.

As Vice-Chair of Education, Dr. Williams oversees biostatistics curriculum development and training programs. His directorship at ACNC involves leading data science initiatives that support UAMS research enterprise. While specific grant details aren't provided, his extensive publication record indicates sustained extramural funding.

He directs the Biostatistics and Data Innovation unit at ACNC, which integrates statistical expertise with cutting-edge computational resources to advance research across UAMS. This role positions him at the nexus of methodological development and translational science, fostering collaborations between statisticians and domain experts in medicine and public health.