The control and administration of the affairs of the Society shall be vested in an Executive Committee consisting of the Officers, 2 Members-at Large, a Secretary, and Treasurer. For all purposes, the Executive Committee shall also constitute the Board of Directors of the Society. The officers of the Society shall serve on the Executive Committee during their term of office. The remaining members of the Executive Committee shall serve for a term of three years. The President of the Society shall be the Chair of the Executive Committee. For the purpose of establishing the Society leadership, staggering terms of each position may be set during the initial 3-year cycle of the Society.

Current members of the Society are eligible to vote. Voting will close March 2, 2026.

President-Elect Candidates

Brian Knaeble

Candidate Statement
Dear Colleagues,

The Society for Causal Inference (SCI), in my view, appears poised and ready for sustainable growth.

If elected president, I’d be committed to extending SCI’s network into regional universities and deeper into industry, while always staying true to the core mission. I’d prioritize the recruitment of new members and the retention of existing stakeholders. Moreover, I’d work to establish new connections with industry partners, mainly for sponsorships, but also to ensure that SCI remains at the forefront of innovation in causal inference. As SCI continues to be a welcoming hub to a diverse group of professionals, I’d work closely with committees to ensure that new attendees at the American Causal Inference Conference (ACIC) feel a genuine sense of belonging and community.

Many people want to learn about the richness, theory, and applications of causal inference. In a recent program committee meeting for ACIC 2026, Dan Scharfstein suggested that SCI consider developing educational case studies with real data, and I think that is a good plan. We can package our best ideas and methods into educational content to be used during short courses at ACIC, and also to support the teaching and learning of causal inference throughout the wider academic community on a global scale.

My teaching and research in academia and my consulting experiences in industry have prepared me to serve as SCI President. And the timing is good. My university has a course release policy for service at the international level, and I have a sabbatical scheduled for the 2027-2028 academic year, which will allow me an abundance of time to devote to serving SCI and its members.

Best Regards,

Brian Knaeble

Bio
Brian Knaeble earned his PhD in mathematics from the University of Utah in 2012. He then worked as a statistical consultant for a variety of clients, including program evaluators for the US Department of Labor and also geneticists at the Center for Genomic Interpretation. He is a former member of the International Society for Environmental Epidemiology, and a current member of the American Statistical Association and the Society for Causal Inference.

Brian is an associate professor of computer science at Utah Valley University (UVU). He directs UVU’s data science program while pursuing complementary interests in interpretable AI. His research is focused on sensitivity analysis for causal inference from observational data, and his approach to research and consulting has been influenced by the ideas of Paul Rosenbaum. Over the course of his career at UVU, he has cultivated a network of industry professionals at various companies, including Myriad Genetics, bioMérieux, Cargill, Intel, Micron, Texas Instruments, Boston Dynamics, and Causality Link.

Born and raised in Minnesota, Brian played two seasons in the United States Hockey League. During the mid-2000s, he lived and worked in Beijing, Xi’an, and Xinjiang, China. He now resides with his wife and three children in the Salt Lake City area, where he is a youth hockey coach. When not on campus, Brian can be found in the Wasatch Mountains east of Salt Lake City, hiking while simultaneously ruminating about math and causal inference.

Mike Daniels

Candidate Statement
I am excited to be nominated to run for President of the Society of Causal Inference (SCI) and to build on the great work done by previous leadership.
I have extensive experience leading large organizations including serving as ENAR president. In this capacity, we introduced several diversity initiatives both in the context of the annual meeting program and helping to ensure a diverse participation at the annual meeting. I also have extensive experience mentoring junior faculty as a research advisor and as department chair for many years. I hope to help increase the developments of previous leadership in this space. Finally, it is important to have the involvement of participants at early level. As such, I will expand on current initiatives to involve undergraduates interested in research in causal inference based on my experience with a large undergraduate program (and the students’ interest in research) at the University of Florida. One idea would be to increase, and encourage, undergraduate involvement in the ACIC data competition. I also hope to continue and expand on current activities, including sessions at ACIC to include researchers outside the ‘traditional’ causal inference community, building on the ‘Law’ session this past year. This could be slightly expanded as a small pre-conference half day workshop on causal inference in a particular substantive area with participation of ‘experts’ in the area (these experts might have a similar profile to the external evaluators of the International Society for Bayesian Analysis (ISBA) Mitchell Prize).

Bio
Mike Daniels is Professor, Chair, and Andrew Banks Family Endowed Chair in the Department of Statistics at the University of Florida. He received a BA in Applied Mathematics from Brown University and ScD in Biostatistics from Harvard University.
His primary research area is Bayesian methods for causal inference and incomplete data with an emphasis on Bayesian nonparametrics and sensitivity analysis with applications in clinical trials and cardiovascular cohort studies. He is former co-editor of Biometrics and a current co-editor of Bayesian Analysis. He is also a Fellow of the American Statistical Association.
He has held numerous leadership roles including President of the Eastern North American Region of the International Biometric Society (IBS) and Chair of the ASA Biometrics section and Statistics in Epidemiology section. He is currently on the Executive Board of IBS.

2026 Elections

President-Elect Candidates

Brian Knaeble

Mike Daniels