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Conference Details

Conference Venue

Exterior view of LITE

The conference talks will be held in the LITE Center building. LITE stands for Louisiana Immersive Technologies Enterprise. LITE is the home for innovation and technology-based business development in Louisiana. The LITE Center is located in the UL Lafayette Research Park. Visit the LITE web page to learn more (opens in a new window.)

Important Dates

Details regarding registration, submission, and cancelation policies are posted on the actions page.

Registration

  1. Early registration (before 1 September 2026): $350
  2. Registration (on or after 1 September 2026): $400
  3. Student registration (before 1 September 2026): $150
  4. Student registration (on or after 1 September 2026): $175
  5. Fully retired individual registration: $150

Submissions

  1. Complete final proposals for invited sessions must be submitted before 1 August 2026.
  2. Contributed paper titles and abstracts must be submitted before 15 September 2026.
  3. Abstracts for papers in approved invited sessions must be submitted before 15 September 2026.

Cancelation

  1. Full refund of registration fees (request must be received before 1 September 2026)
  2. Fifty percent refund of registration fees (request must be received before 1 October 2026)
  3. No refunds for requests received on or after 1 October 2026

Call for Papers

Sessions

We encourage you to present your work at the conference. Of course, all speakers must register for the conference.

Our plans allow for two types of sessions: Contributed Sessions and Invited Speaker Sessions.

Contributed Sessions

Contributed paper sessions are organized as follows. Five participants, each allotted 20 minutes for presentation and questions, will be grouped by the AISC Program Committee.

To participate here, you simply submit a presentation abstract, via the online system, for the AISC Program Committee to review for acceptability and appropriate placement on the program. The AISC Program Committee will review your presentation abstract and inform you of their decision to accept or reject it as soon as possible. We will do our best to respond within two weeks.

Invited Session Proposals

If you are interested in chairing an invited session focusing on a particular topic we encourage you to submit a proposal. You as chair and all of the speakers must register for the conference.

Your proposal should include a session title, a general description of the session, a list of potential presenters, and tentative talk titles. Please use this email link to submit your proposal. The AISC Program Committee will review your proposal and inform you of their decision to accept or reject it as soon as possible. We will do our best to respond within two weeks.

Committees

International Advisory Committee

Our conference Organizing Committee will take advantage of the invaluable guidance provided by the esteemed members of our International Advisory Committee. The Advisory Committee members, all of whom are highly distinguished scholars, are listed blow.

Organizing Committee

Additional details are coming soon! Please check back for updates.

Plenary Speakers

Ji-Hyun Lee

Ji-Hyun Lee
Ji-Hyun Lee
Professor, University of Florida

Conversations with a Collaborative Biostatistician: The Quiet Power of Everyday Statisticians

In a world that prizes headline breakthroughs, the steady, collaborative work of everyday statisticians often flies under the radar. In this interview-style seminar, I will share a series of candid conversations that illustrate how routine statistical thinking, cross-disciplinary teamwork, and inclusive leadership drive scientific discovery and improve patient outcomes. I’ll also highlight the initiatives I launched as ASA’s 2025 President to broaden community engagement, advance data-science Practice, and spotlight the tangible impact that ordinary experts have on meaningful research. Join me to uncover the quiet power that underpins modern science

About the Speaker

Dr. Ji-Hyun Lee is Professor of Biostatistics at the University of Florida and Associate Director for Cancer Quantitative Sciences at the University of Florida Health Cancer Center. She provides strategic leadership and promotes collaborative, rigorous research across the center. Dr. Lee holds master’s and doctoral degrees in Biostatistics from the University of North Carolina Chapel Hill. Her work focuses on clinical trial design, group randomized trials, and best statistical practices. She is a Fellow of the American Statistical Association, a certified PStat®, and served as ASA’s 120th President in 2025. She now serves as ASA Past-President, championing initiatives that strengthen the statistical community and promote data-science practice.

Visit Ji-Hyun Lee's University of Florida webpage to learn more (opens in a new window.)

Katherine Bennett Ensor

Katherine Ensor
Katherine Bennett Ensor
Professor, Rice University

About the Speaker

Dr. Katherine Bennett Ensor is the Noah G. Harding Professor of Statistics at Rice University where she serves as director of the Center for Computational Finance and Economic Systems. Ensor, a leading national voice in artificial intelligence and data science, develops statistical methods for practical problems with specific interests in finance, energy, environment, health, community and risk analytics. Ensor served as the 117th president of the American Statistical Association and is a fellow of ASA, AAAS, and an elected member of ISI. She has been recognized for her leadership, scholarship, and mentoring and, in 2021, was inducted to the Texas A&M College of Science Academy of Distinguished Former Students. In 2024 she was honored with the ASA Founder’s Award, the highest honor given by ASA to its members. She holds a Ph.D. in Statistics from Texas A&M University, and an M.S. and B.S.E. in Mathematics from Arkansas State University.

Visit Katherine Ensor's Rice University webpage to learn more (opens in a new window.)

John Stufken

John Stufken
John Stufken
Professor, George Mason University

About the Speaker

John Stufken is an expert in experimental design and data science, known for his work on orthogonal arrays, crossover designs, and optimal design methods. He has authored influential books and held leadership roles at major universities and the NSF. Stufken is an Elected Fellow of the American Statistical Association and the Institute of Mathematical Statistics.

Visit John Stufkin's webpage to learn more (opens in a new window.)

Karen Kafadar

Karen Kafadar
Karen Kafadar
Commonwealth Professor, University of Virginia

About the Speaker

Professor Kafadar is a leading expert in exploratory data analysis and robust methods. Her research focuses on uncertainty characterization in physical and biological sciences, earning awards from the CDC, ASA, and American Society for Quality. She served as the 114th president of the American Statistical Association and was elected an ASA Founder for her outstanding leadership. She also served as president of the International Association for Statistical Computing.

Visit Karen Kafadar's profile page at the University of Virginia to learn more (opens in a new window.)

Udo Sglavo

Udo Sglavo
Udo Sglavo
Vice President
Applied AI and Modeling R&D

From Insight to Impact: Agentic AI and the Decision Architecture of Trustworthy Action

As AI systems move from generating insights to executing decisions, the central challenge facing organizations is no longer model accuracy alone, but decision quality at scale. When models act, inference becomes operational. This keynote examines how the rise of agentic AI changes the role of statistics, shifting emphasis from insight generation to the design of decision systems that are trustworthy, explainable, and accountable.

Building on recent domain-specific advances in areas such as clinical research and public health, the talk introduces decisioning as the missing architecture that connects statistical rigor to real-world impact. Decisioning defines how model outputs are translated into actions through evidence, constraints, human oversight, and continuous validation. Using illustrative examples across multiple industries, the keynote highlights where statisticians play a critical role as decision architects, shaping uncertainty thresholds, escalation logic, auditability, and long-term monitoring.

The session reframes agentic AI as a decision-system problem rather than a modeling problem, and argues that the future impact of AI depends on how effectively statistical principles are embedded into the systems that act on our behalf.

About the Speaker

Udo leads Applied Artificial Intelligence and Modeling Research and Development at SAS. With nearly three decades of experience fostering technology innovation and excellence, Udo heads a team of expert developers and data scientists dedicated to pioneering cutting-edge software and leveraging advanced models to transform the way the world works.

By imagining and building the next generation of AI-driven models and software solutions, Udo helps organizations harness the power of data and analytics to solve their toughest business challenges and outpace the world around them.​

Udo’s commitment to pushing the boundaries of what AI can achieve has earned him recognition as a global thought leader shaping the future of technology. In addition, Udo has written three publications and holds four patents in advanced analytics.

Hiya Banerjee

Hiya Banerjee
Hiya Banerjee
Senior Director, Eli Lilly and Company

About the Speaker

Dr. Hiya Banerjee is a Senior Director at Eli Lilly and Company, where she focuses on external engagement, statistical innovation, and implementation in clinical drug development. She has extensive experience in cardiometabolic diseases and oncology, with expertise in survival analysis, causal inference, missing data methodologies, and real-world evidence. Dr. Banerjee is actively involved in advancing statistical collaborations across academia, industry, and regulatory agencies. She serves in leadership roles within the American Statistical Association Biopharmaceutical Section and the International Indian Statistical Association, and is passionate about fostering innovation and mentoring the next generation of statisticians and data scientists.

There are more details to come! Please check back for updates.

Sessions

We are currently organizing contributed and invited sessions covering a wide range of contemporary research areas. The invited session titles and organizers will be posted below as they are finalized.

More details about the sessions are coming soon, so please check back for updates.

Partners

Academic Partners

The Louisiana Chapter of the ASA

We are pleased to announce that the Louisiana Chapter of the ASA will participate in the conference. Please visit this web page to learn more about the Chapter. (This link opens in a new window.)

The University of Louisiana at Lafayette

We are pleased to acknowledge the support of the Office of Research, Innovation, and Economic Development at the University of Louisiana at Lafayette and the University itself for their support of the AISC 2026 and their commitment to support these conferences into the future. Please visit this web page to learn more about the University. (This link opens in a new window.)

Publication Partners

JSTP

We are pleased to announce that the Journal of Statistical Theory and Practice will publish a special issue devoted to papers presented at the conference. Please visit this web page to learn more about the Journal of Statistical Theory and Practice (opens in new window)

Springer

We are also please to announce our connection with the publisher of the Journal of Statistical Theory and Practice. Please visit this web page to learn more about the Springer and their many divisions. (opens in new window)