Miller School Unveils AI Platform to Transform Translational Research and Scientific Training
Summary
- The University of Miami Miller School of Medicine has launched a new artificial intelligence platform designed to change how scientists work with data.
- The MIL Agentic Data Scientist platform lowers the learning curve, guiding users through best practices in study design, data management and interpretation.
- The platform is part of a broader effort to strengthen scientific training at the Miller School of Medicine.
The University of Miami Miller School of Medicine has launched a new artificial intelligence platform designed to change how scientists work with data, design studies and translate research into real‑world impact.
The MIL Agentic Data Scientist (MILADS) platform, developed through a collaboration between the Miller School’s Department of Informatics and Health Data Science, the Media and Innovation Lab and the Center for Translational Sleep and Circadian Sciences, was introduced at the 2025 PRIME Winter Bootcamp, an NIH‑funded national training program supporting early‑career researchers. The bootcamp was led by Miller School of Medicine faculty, including:
• Girardin Jean‑Louis, Ph.D., professor of psychiatry and behavioral sciences and neurology and director of the Center for Translational Sleep and Circadian Sciences
• Tatjana Rundek, M.D., professor of neurology, the Evelyn F. McKnight Chair for Learning and Memory in Aging and scientific director at the Evelyn F. McKnight Brain Institute
• Debbie Chung, Ph.D., assistant professor of psychiatry and behavioral sciences
Indu Ayappa, Ph.D., a professor at the Icahn School of Medicine at Mount Sinai, was also part of the PRIME leadership team.
With more than 30 junior faculty and postdoctoral scholars from across the U.S. participating, the bootcamp offered the first hands‑on demonstration of how the platform can enhance study design, speed up analysis and improve the translation of findings into clinical and population health improvements.
“The MIL Agentic Data Scientist platform fundamentally changes how we think about data science in academic medicine,” said Azizi Seixas, Ph.D., an associate professor of psychiatry and behavioral sciences, director of The Media and Innovation Lab, associate director of the Center for Translational Sleep and Circadian Sciences and interim chair of the Department of Informatics and Health Data Science at the Miller School. “MILADS transforms biomedical research into a reproducible, agent-assisted system that serves as a teacher and thought partner, providing end-to-end support across the research pathway and accelerating ingenuity, grants and publications.”
An AI Partner for Scientists
The MIL Agentic Data Scientist platform was created to serve as an intelligent collaborator that helps researchers work more efficiently, regardless of their level of data‑science training.
The technical architecture of MILADS was led by Dwayne Henclewood, Ph.D., an independent artificial intelligence strategist, consultant and practitioner, who partnered with Dr. Seixas to design the platform’s agentic framework. Together, they paired the technology with a structured training and mentorship model, first piloted at PRIME. During the bootcamp, participants received hands-on experience using MILADS to address real research questions, demonstrating how AI-enabled tools can enhance study design, accelerate analysis and improve the translation of findings into clinical and population health insights.
For those new to advanced analytics, the MIL Agentic Data Scientist platform lowers the learning curve, guiding users through best practices in study design, data management and interpretation. For seasoned investigators, it automates time‑consuming steps and supports complex, multimodal analyses involving clinical, behavioral, biological, environmental and real‑world data.
How the Platform Works
The MIL Agentic Data Scientist platform is built around a modern agentic AI architecture, with capabilities that reflect the full lifecycle of research, providing support across five key stages:
1. Ideation: Helping researchers shape research questions, identify appropriate datasets and explore preliminary hypotheses.
2. Intelligence: Synthesizing multimodal information to give scientists a more complete view of the factors shaping health outcomes.
3. Inception: Assisting in study design, selecting analytic approaches, and preparing data for analysis.
4. Intervention: Running predictive models, classification tools, causal inference, time‑series analyses and other advanced methods to uncover meaningful insights.
5. Impact: Translating results into practical outputs that support clinical decisions, population health strategies, grant development and manuscript preparation.
By integrating these elements, the MIL Agentic Data Scientist platform helps researchers move from idea to impact more quickly and with greater analytic rigor.
A Catalyst for Training, Mentoring and Workforce Development
While the MIL Agentic Data Scientist platform is a technological breakthrough, its launch is also part of a broader effort to strengthen scientific training at the Miller School.
The PRIME Institute, led by Dr. Jean‑Louis, has been recognized nationally for preparing early‑career investigators in sleep, circadian biology, cardiometabolic health and related fields. PRIME has trained hundreds of scientists over two decades, combining structured mentorship, peer support and intensive methodological training.
By embedding the MIL Agentic Data Scientist platform into these programs, the Miller School is modernizing the research training pipeline. The platform enables learners to:
• Practice real‑world data analysis
• Build reproducible workflows
• Strengthen grant and manuscript preparation
• Enhance collaboration across disciplines
This AI‑integrated approach ensures the next generation of researchers is equipped for a scientific era driven by big data, computational methods and rapid‑fire innovation.
A National Leader in AI‑Enabled Science
The Miller School continues to expand its role at the forefront of AI‑powered biomedical research. The MIL Agentic Data Scientist platform, combined with programs like the PRIME Bootcamp, hands-on AI training initiatives and the creation of an Office of AI in Medical Education, demonstrates the school’s commitment to advancing scientific excellence, strengthening mentorship and preparing a data‑literate research workforce.
As the MIL Agentic Data Scientist platform evolves, Miller School leaders plan to expand the platform across additional departments and collaborative initiatives, accelerating discovery and positioning the Miller School as a national hub for AI‑enabled translational science and workforce development.
Tags: AI, artificial intelligence, Department of Informatics and Health Data Science, Department of Psychiatry and Behavioral Sciences, digital health, Dr. Azizi Seixas, Dr. Debbie Chung, Dr. Girardin Jean-Louis, Dr. Tatjana Rundek, Media and Innovation Lab, technology, Translational Sleep and Circadian Sciences