Charles M. Heilig

Charles M. Heilig, Ph.D., serves as Associate Director for Data Science at CDC's CSELS, leading integration of data sciences in public health surveillance and ethics. Previously, he was Lead Methodologist in the Division of Tuberculosis Elimination (DTBE), managing the Tuberculosis Trials Consortium (TBTC). He holds a PhD in Statistics from UC Berkeley (1997) and has extensive experience in research ethics, statistical methodology, and clinical trial design.

Education:

• PhD in Statistics, University of California, Berkeley (1997)

Research Interests: Focuses on tuberculosis clinical trial methodology, research ethics in public health surveillance, and mathematical statistics. Collaborates across disciplines including medicine, epidemiology, and philosophy to develop evidence-based practices. Active in mentoring students and advancing ethical stewardship of data repositories.

Articles Trends: Recent work emphasizes ethical frameworks for public health surveillance without patient consent and optimizing tuberculosis screening algorithms in HIV-positive populations. Earlier contributions include foundational statistical theory and clinical trial innovations for tuberculosis treatments.

Scientific Awards: No awards explicitly listed in provided texts.

Advising & Grants: Mentored students/fellows in data sciences through DTBE programs. Spearheaded TBTC consortium efforts to strengthen clinical trial design and analysis. Previously managed CDC's human research protection program (2005-2007).

Labs/Teams: Leads CSELS data science initiatives and collaborates with TBTC consortium. Engages with interdisciplinary teams in DTBE, Office of the Chief Science Officer, and Division of Reproductive Health.