David Elashoff

David Elashoff is an Adjunct Professor of Medicine and Computational Medicine at the University of California, Los Angeles (UCLA) and a lead statistician in the UCLA Department of Medicine Statistics Core. His work focuses on the design and analysis of cancer biomarker studies, high-throughput omics data, and multicenter clinical trials.

Education

• PhD in Statistics, Stanford University (2000)
• BS in Mathematics, Massachusetts Institute of Technology (1995)

Research Interests

Elashoff's methodological research centers on biostatistical study design, analysis of high-dimensional genomic and proteomic data, and predictive modeling using electronic health records. Applied collaborations span prostate, lung, gastric, and breast cancers, rheumatoid arthritis, transplantation, and cardiovascular risk prediction. He has particular expertise in liquid biopsy analytics, extracellular vesicle biomarkers, and immune profiling trials.

Publications at a Glance

Analysis of his 15 most recent articles (2024-2025) reveals concentrated activity in (i) precision oncology trials leveraging PSMA PET imaging, omega-3 interventions, and antibody-drug conjugates; (ii) multi-omics liquid biopsy platforms for gastric, hepatocellular, and lung cancers; and (iii) predictive modeling of sudden cardiac arrest and end-stage kidney disease using large EHR repositories. These works underscore a trend toward integrative biomarker-guided trials and real-world data analytics.

Scientific Awards

No specific awards are enumerated in the provided materials.

Grants & Collaborative Networks

Elashoff serves as senior statistician on numerous NIH, industry, and multicenter investigator-initiated trials, including the FLEX-MRT phase 2 radioligand therapy series, PSMA-SRT phase 3 imaging trial, CAPFISH-3 diet intervention trial, and the OSCAR sudden-death cohort study. His leadership of the Statistics Core supports UCLA investigators across oncology, rheumatology, nephrology, and transplantation.

Laboratory / Team

While no wet-lab is described, he directs statistical activities within the UCLA Department of Medicine Statistics Core, coordinating data management, analysis pipelines, and regulatory reporting for multiple consortia including the Liquid Biopsy Consortium and multi-institutional cancer imaging trials.