Javier Cabrera

Javier Cabrera is a Professor in the Department of Statistics at Rutgers University with a joint affiliation at the Cardiovascular Institute. He holds a Ph.D. from Princeton University and is recognized as a Fulbright Scholar. His office is located at Hill Center 471, 110 Frelinghuysen Road, Piscataway, NJ.

His research focuses on:

• Biostatistics and clinical trial methodology
• Data mining for functional genomics and DNA/protein arrays
• Statistical computing, machine vision, and high-dimensional data analysis
• Cardiovascular health applications using statistical modeling

Recent publications (2022-2025) demonstrate strong emphasis on:

• Novel statistical methods for medical/biological data
• Machine learning applications in diagnostics and genomics
• Clinical risk modeling and epidemiological studies
• Big data reduction techniques and computational efficiency

He frequently publishes in interdisciplinary collaborations at the intersection of statistics, biomedicine, and computational science.

Awards:

• Fulbright Scholar

He collaborates extensively with the Cardiovascular Institute, contributing statistical expertise to research on cardiovascular outcomes, disease risk modeling, and clinical data analysis.