The Emerging Leader award, given annually by the Committee of Presidents of Statistical Societies, recognizes early-career statistical scientists who show evidence of and potential for leadership and who will help shape and strengthen the field. The eight 2025 recipients are:

Lucy D’Agostino-McGowan, Wake Forest University: For advancing causal inference and missing data methods. For innovative teaching in and out of the classroom and through the Casual Inference podcast. For dedicated service to students, mentees, and the profession.

Eric J. Daza, Stats-of-1: For building the urgently needed new field of “esametry”, idiographic statistics that expand n-of-1 and single-case methods for precision digital health; for leadership and service in making statistics and data science more inclusive; for improving statistical scientific communication.

Irina Gaynanova, University of Michigan: For significant contributions to statistical methods for integrative analysis of biomedical data, advancing continuous glucose monitoring data analysis with open-source software, commitment to statistical education, mentoring, and leadership in editorial and professional roles.

Lucas Janson, Harvard University: For contributions to statistical methodology, particularly methods that leverage machine learning for statistical inference on data that is high-dimensional or adaptively collected, and for commitment to teaching, mentorship, and outreach.

Bei Jiang, Univ. of Alberta: For pioneering contributions to statistical methodologies in trustworthy machine learning, strengthening the integration between statistics and machine learning with novel methodologies in neuroimaging data analysis, data privacy, and algorithmic fairness; and for exemplary mentorship and dedicated service to the statistical community.

Nadja Klein, Karlsruhe Institute of Technology: For contributions to statistical sciences, spanning Bayesian deep learning, computational methods, and spatial statistics; commitment to impactful research, mentorship, professional service, and ensuring methods and software are accessible to researchers and practitioners.

Ana M. Ortega-Villa, National Institute of Allergy and Infectious Diseases: For impactful and dynamic leadership, including the training, mentoring, and uplifting of junior colleagues; For effective communication with non-statistical collaborators promoting statistical rigor; and for energetic and innovative service to the profession.

Yize Zhao, Yale University: For fundamental contributions to statistical and machine learning methods and applications for medical imaging, neuroscience, psychiatry and mental health; for exceptional contributions to Bayesian statistical inference and computation for structural and graphical data; and for outstanding mentorship, professional services, and leadership.

In creating this award, COPSS recognizes the increasingly important role that early-career statistical scientists play in shaping the future of the discipline. The award is designed both to call attention to the efforts of these individuals and to provide a mechanism for them to share their vision for the field with each other and the statistical community.

In addition at JSM, the COPSS Presidents’, Snedecor, F.N. David and Distinguished Achievement Awards were presented: see here.