The Miller School launched a new agentic 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 was developed through a collaboration between the Miller School’s Department of Informatics and Health Data Science, The Media and Innovation Lab (MIL) and the Center for Translational Sleep and Circadian Sciences. It 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 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 of the Evelyn F. McKnight Brain Institute
- Debbie Chung, Ph.D., research assistant professor of psychiatry and behavioral sciences
More than 30 junior faculty and postdoctoral scholars from across the U.S. participated in the first hands‑on demonstration of how MILADS can address real research questions. They experienced the ways that it can enhance study design, accelerate 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 Collaborator 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.
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.
MILADS Across the Research Life Cycle
The MIL Agentic Data Scientist platform is built around a modern agentic AI architecture, with capabilities that reflect the full lifecycle of research. It provides support across five key research stages:
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 MILADS 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.
A National Leader in AI‑Enabled Science
The Miller School continues to expand its role at the forefront of AI‑powered biomedical research. In addition to MILADS and programs like the PRIME Bootcamp, the school’s hands-on AI training initiatives and recent creation of an Office of AI in Medical Education have furthered its commitment to advancing scientific excellence, strengthening mentorship and preparing a data‑literate research workforce.
As MILADS evolves, Miller School leaders plan to expand the platform across additional departments and collaborative initiatives, accelerating discovery and positioning the school as a national hub for AI‑enabled translational science and workforce development.
“The MIL Agentic Data Scientist platform fundamentally changes how we think about data science in academic medicine.”
