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 “humanly 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.”


People

DISL Team

Team Lead

Current Members

Name Title Email
Shantanu Ghosh Shantanu Ghosh STU AST – NON-CLERICAL & ADMIN shantanughosh@ufl.edu
Inyoung Jun Inyoung Jun GRADUATE AST-R inyoungjun@ufl.edu
Yiyang Liu Yiyang Liu OPS-Spons Prjs Non-Clerical yliu26@ufl.edu
Simone Marini Simone Marini RES AST PROF simone.marini@ufl.edu
Shannan N Rich Shannan N Rich GRADUATE AST-R shannanrich@ufl.edu

Former Members

Zhaoyi Chen Jae Min Kai Wang
Zhaoyi Chen Jae Min Kai Wang

Collaborators

Dr. Marco Salemi
Professor in Department of Pathology
Emerging Pathogens Institute

Dr. Ilaria Capua
Professor in Department of Animal Sciences
Director of One Health Center for Excellence

Dr. Jiang Bian
Assistant Professor in Department of Health Outcomes & Biomedical Informatics

Dr. Christina Boucher

Assistant Professor in Department of Computer & Information Science & Engineering

Dr. Alberto Riva

Director of Digital Biology Group
Bioinformatics Associate Scientist
Interdisciplinary Center for Biotechnology Research

Dr. Volker Mai
Associate Professor in Department of Epidemiology

Dr. Robert L. Cook

Professor in Department of Epidemiology
Director of Southern HIV Alcohol Research Consortium


Current Projects

  • 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
  • COV-DYNAMITE
    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.
  • HIV
    We are currently pursuing several projects on HIV transmmission: 1) Developing novel theoretical and technical framework to model HIV transmission clusters, 2) geospatial modeling of HIV drug resistance in Florida, and 3) investigating the role of viral evolution in HIV-associated neurocognitive disorders. These projects are supported by National Institute of Allergy and Infectious DiseasesNational Institute of Neurological Disorders and Stroke, and Florida Department of Health.
  • Job Loss
    Using deep learning and natural language processing, we are studying individual and network determinants of dramatic life events like job loss using social media. This project is supported by National Science Foundation.

News

Kai Wang graduates
Kai Wang earned his PhD and will pursue a postdoctoral opportunity at Harvard. Congratulations to Dr. Wang!

Recent Publications

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


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