Data Intelligence Systems Lab (DISL)

Data Intelligence Systems Lab

Mission Statement

DISL’s interests are in the areas of data science and machine learning, with particular focus on biomedical modelling. Our research activities include both theoretical and applied studies aimed at developing prediction models of future health and life aided by technology and data intelligence. Furthermore, we are innovating research in data science by hybridizing theory-based approaches with hypothesis-free, bottom-up data mining. We are committed to fostering an environment of diversity and inclusion both through research, education and scholarly activities. DISL’s vision is pursuing ideas in “humanely ethical” artificial intelligence for health and beyond, working to ameliorate recent discomforting results in social and welfare modelling, as “biased algorithms are everywhere, and no one seems to care.”



Team Lead

PHHP Coordinator for AI

Mattia Prosperi

Mattia Prosperi

Professor And College Coordinator Of Artificial Intelligence
Phone: (352) 273-5860

Current Members

Name Title Email
Inyoung Jun Inyoung Jun Graduate Research Assistant
Rodrigo A Mora Rodrigo A Mora
Sarah E Ser Sarah E Ser GRADUATE AST-R
Shannan N Rich Shannan N Rich OPS-Spons Prjs Non-Clerical
Shantrel S Canidate Shantrel S Canidate Clinical Assistant Professor
Simone Marini Simone Marini RES AST PROF
Tayla M Hunt Tayla M Hunt Special Projects Coordinator
Yiyang Liu Yiyang Liu Postdoctoral Scholar

Former Members

Zhaoyi Chen Jae Min Kai Wang
Zhaoyi Chen Jae Min Kai Wang Shantanu Ghosh


Current Projects

  • Southern HIV and Alcohol Research Consortium Biomedical Data Repository
    Will integrate the disparate research data and then utilize novel statistical and AI approaches to address research questions in treating HIV and alcohol-related morbidity and mortality.
  • Evaluating Public Perception of Pesticides Using Social Media Data Analysis
  • Interventions to improve alcohol-related comorbidities along the gut-brain axis in persons with HIV infection
    This project hopes to identify and ultimately implement new/improved, targeted interventions that will improve outcomes related to cognitive and brain dysfunction in persons with HIV who drink alcohol.
  • NSF SCH INT Enabling real-time surveillance of antimicrobial resistance
    Aims at developing computational tools to process and analyze high-throughput sequencing data from antimicrobial resistance studies using mobile and portable technologies
  • Forecasting trajectories of HIV transmission networks with a novel phylodynamic and deep learning network
    Aims at fusing deep learning with phylodynamics modelling toward multi-factor prediction of transmission clusters in the HIV epidemic
    Dynamic clustering of SARS-CoV-2 phylogenies under heterogeneous sampling to identify and forecast transmission hotspots
  • Antimicrobial Resistance
    Our latest project studies the acquisition of antibiotic resistance in pathogens through clinical and agricultural surveillance and development of novel methods to analyze metagenomics data. This project is supported by National Institute of Allergy and Infectious Diseases.


  • Yiyang Liu’s abstract was accepted for oral presentation at the 84th College on Problems of Drug Dependence (CPDD) Annaul Scientific Meeting. Titled “Comorbidity burden and health care utilization among people with HIV and substance use disorder”, Yiyang will present in Minneapolis between June 11-15.
  • Inyoung Jun participated as one of the Top 5 finalists for the Student Paper Competition at the AMIA Informatics Summit 2022. She presented the work “Moving from predicting hospital deaths by antibiotic-resistant bloodstream bacteremia toward actionable risk reduction using machine learning on electronic health records”.
  • Inyoung Jun hosted Dr. Sirota of the University of California San Francisco for a career-sharing event on April 6th at UF as a part of the UF ISPE (International Society for Pharmacoepidemiology) student group activity. Dr. Sirota and UF students had a lunch chat time to talk about her career stories, including the difference between academia and industry.”
  • DISL member Shannan Rich was selected as the 2021-2022 PHHP graduate level Dean’s scholar.  A prestigious honor, Shannan’s accomplishments will be recongized at a formal Recognition Ceremony hosted by the College of Public Health and Health Professions. Congratulations to Shannan!
  • Shannan Rich successfully defended her dissertation entitled: “Social-behavioral and phylogenetic network dimensions of HIV transmission in Florida” this past Monday, March 14th. The committee included Drs. Robert Cook & Mattia Prosperi (co-chairs), Dr. Marco Salemi, and Dr. Karen Garrett. Shannan will be awarded a PhD in Epidemiology with a concentration in Infectious Diseases on April 28th, 2022.
Shannan Rich Dissertation Defense
From Left: Dr. Robert Cook, Dr. Mattia Prosperi, Shannan Rich, Dr. Karen Garrett, Dr. Marco Salemi

Recent Publications

For the most up-to-date list, please visit: Google Scholar

Send us an email

Send us an email!

Follow us on Twitter: Mattia Prosperi@MasahikoKim, Shannan N Rich@rich_shannan