Steven Edland

Dr. Steven Edland is an Adjunct Professor at the Herbert Wertheim School of Public Health & Human Longevity Science and the Department of Family Medicine and Public Health at UC San Diego. His research focuses on epidemiology, biostatistics, and clinical trial design in Alzheimer's disease and chronic disease prevention. He has held key roles in prominent studies, including the Mayo Clinic Alzheimer’s Disease Research Center (ADRC) Biostatistics Core and the UCSD ADRC Biostatistics Core.

Dr. Edland’s work bridges statistical rigor with clinical application, particularly in optimizing outcome measures for Alzheimer’s trials. He leads grants such as the NIH-funded MADURA Program for diversity in aging research and the study ‘Optimizing Outcome Measures for Clinical Trials in Pre-Clinical Alzheimer's Disease.’ His expertise spans longitudinal analysis, biomarker development, and sex-specific cognitive assessments.

Active in NIH panels and data safety monitoring, he collaborates internationally on trials like the Stanford Alzheimer’s Disease Center and the ESPINA Study. His research emphasizes improving trial efficiency through statistical methods and addressing disparities in dementia care. Dr. Edland’s contributions include advancing composite endpoints, genetic stratification techniques, and biomarker utilization in early-stage trials.