HOBI researchers are using AI and data science to transform the way we conduct health research, deliver care and stay healthy.


New location

HOBI's Home Base

Before reaching the year 2024, artificial intelligence and data science researchers from the UF Colleges of Medicine, Engineering and Pharmacy moved into the new state-of-the-art Malachowsky Hall for Data Science and Information Technology, including all HOBI faculty, staff and students. The 263,000-square-foot building, located in the heart of UF's main campus, connects students and researchers from across disciplines by creating an interdisciplinary hub for advances in computing, communication and cyber-technologies. The hall is named for NVIDIA co-founder Chris Malachowsky.

Malachowsky Hall for Data Science & Information Technology

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advancing ai in the health sciences

Join our team

The academic colleges of UF Health are recruiting faculty who can harness artificial intelligence to improve health and health equity, while training students to lead tomorrow's AI workforce. (For positions in the Department of Health Outcomes & Biomedical Informatics, search for “29240101”).

Photo illustration of medical technology data network

Our ai expertise

artificial intelligence at HOBI

Working together to enhance real-world data

At HOBI, we're building the world-class infrastructure needed to support smart, data-driven research while safeguarding patient privacy. We're pioneering new uses for AI and data science to help health systems learn and improve, to address disparities and meet the healthcare needs of underserved populations, to deliver precision care tailored to patients' needs, and to improve health outcomes for individuals, families and communities. Our BMI team transforms real-world data into useful tools for health research. Our health researchers leverage the data with powerful AI tools to improve care delivery, health outcomes and health inequities.

HOBI AI diagram


AI Data Infrastructure Development

Developing new AI and data science tools and methodologies for gathering, securing, storing, linking, cataloging, organizing and using health data in research and clinical care.

Expertise: Data analytics, security and privacy, software engineering, applied ontologies, biosurveillance, electronic health records, public health systems, decision theory, natural language processing, machine learning, data generation and harmonization, computable phenotypes


Applied AI

Using AI tools, technologies and data to improve health care quality, efficiency, delivery and outcomes for health systems, individuals, families and communities. Key areas of research focus include cancer, Alzheimer’s disease and dementia, and chronic pain.

Expertise: Data analytics, electronic health records, public health systems, decision theory, digital health (use of mobile phones, devices, smartwatches, activity trackers and other wireless technology in medical care and health contexts), social media, geomapping, learning health systems

key data infrastructure



This clinical research network and data warehouse unites scientists, clinicians, patients and stakeholders throughout Florida and in select metropolitan areas in Georgia and Alabama to address some of today’s biggest health challenges. The network’s 14 academic institutions and health systems provide care for about 74% of Floridians in all 67 counties, together with large, diverse populations in greater Atlanta and Birmingham, Alabama. The OneFlorida+ Data Trust contains data for more than 17 million individuals in Florida and the Southeast, creating a dynamic resource to facilitate health care research, disseminate research findings, and improve health, health care and health policy.

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uf health idr

UF Health Integrated Data Repository

Supported by the UF CTSI, this secure, clinical data warehouse collects and organizes information from across UF Health’s clinical and research enterprises. The UF IDR houses more than 1 billion observational facts pertaining to more than 1 million patients, including all patients who presented with symptoms or were tested for COVID 19 since January 2020. 

uf health + nvidia


This natural language processing system, developed by UF Health and NVIDIA, extracts massive volumes of information from patient records with unprecedented speed and clarity, enabling researchers to quickly identify relevant patients for lifesaving clinical trials and other studies. It is also expected to accelerate the development of medical applications with improved predictive, preventive and intervention capabilities.


Florida Research Data Center

The FLRDC provides a secure research environment where researchers can analyze restricted data collected by the U.S. Census Bureau and other federal statistical agencies.

ai news and updates

university of Florida

Medical AI tool from UF, NVIDIA gets human thumbs-up in first study

A new artificial intelligence computer program created by researchers at the University of Florida and NVIDIA can generate doctors’ notes so well that two physicians couldn’t tell the difference, according to an early study from both groups.

Yonghui Wu, Ph.D., stands beside the HiPerGator, the supercomputer at the University of Florida that supported his research in artificial intelligence, thanks to the processing power of hundreds of synchronized computer units from NVIDIA.

revolutionary work

AI and machine learning in patient care

Faculty in the department of health outcomes and biomedical informatics are at the forefront of building and leveraging artificial intelligence to improve health care. Jiang Bian, PhD, an associate professor in HOBI and the UF College of Medicine's 2021 Basic Science Research Award winner, discusses his work on artificial intelligence and machine learning in patient care.

HOBI faculty member Jiang Bian, Ph.D. Play Video

UF’s AI Initiative

university of Florida

AI at UF: Far-Reaching Impact

The University of Florida’s AI initiative will make UF a national leader in AI and have far-reaching impacts for the university and its students and faculty. Equally important, it will play a crucial role in the transformation of Florida’s economy into a diversified, technology-driven, high-wage economy. Anchored by a $70 million research and education partnership with NVIDIA, UF is building the most powerful supercomputer in higher education and has committed to hiring 100 new faculty dedicated to AI. UF’s powerful AI infrastructure will put researchers on the front lines of addressing some of the world’s most pressing challenges.

AI at UF