Denise M Scholtens

Dr. Denise M Scholtens serves as Professor in the Department of Preventive Medicine (Biostatistics and Informatics) and Neurological Surgery at Northwestern University's Feinberg School of Medicine. She holds dual leadership roles as Director of the Northwestern University Data Analysis and Coordinating Center (NUDACC) and Chief of the Division of Biostatistics, overseeing statistical design and analysis for multicenter clinical research initiatives.

Education:

• PhD in Biostatistics, Harvard University (2004)

Her research integrates advanced biostatistical methodologies with high-dimensional data analysis in multicenter observational studies and clinical trials. Current work focuses on metabolic disorders, diabetes risk assessment, and neonatal biomarker discovery through collaborations with the Center for Diabetes and Metabolism and Simpson Querrey Institute for Epigenetics. She pioneers statistical frameworks for integrating -omics data into large-scale population studies.

Recent publications demonstrate methodological innovations in metabolomic profiling of diabetes across diverse cohorts and proteomic biomarker identification for neonatal sepsis, emphasizing applications in precision medicine and early intervention strategies.

Scientific Recognition:

• MS Biostatistics Mentor of the Year (2020, 2022)
• Teaching Excellence Award (2021)
• Teacher of the Year (2012)

As lead statistician for major NIH-funded studies, she mentors biostatistics MS students while directing NUDACC's support for clinical trial lifecycle management. Her editorial service includes Statistical Reviewer for JAMA and program committees for ISMB/ECCB conferences. Affiliated with IPHAM and NUCATS, she bridges biostatistics with translational research in diabetes, metabolism, and neurological disorders through institutional centers.

NUDACC under her leadership provides comprehensive data coordination services across Feinberg's research ecosystem, with particular expertise in metabolic disease studies and high-dimensional data integration through partnerships with the Metabolomics Society and Society for Clinical Trials.