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.”
People
Team Lead
PHHP Coordinator for AI
Mattia Prosperi
Professor And College Coordinator Of Artificial Intelligence
Phone:
(352) 273-5860
Email:
m.prosperi@ufl.edu
Current Members
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Inyoung Jun | Graduate Research Assistant | inyoungjun@ufl.edu | |
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Rodrigo A Mora | rmora1228@ufl.edu | ||
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Sarah E Ser | GRADUATE AST-R | sser@ufl.edu | |
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Shannan N Rich | OPS-Spons Prjs Non-Clerical | shannanrich@ufl.edu | |
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Shantrel S Canidate | Clinical Assistant Professor | ssc1987@ufl.edu | |
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Simone Marini | RES AST PROF | simone.marini@ufl.edu | |
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Tayla M Hunt | Special Projects Coordinator | taylamoore@ufl.edu | |
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Yiyang Liu | Postdoctoral Scholar | yliu26@ufl.edu |
Former Members
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| Zhaoyi Chen | Jae Min | Kai Wang | Shantanu Ghosh |
Workshops
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 - 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.
News
- 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.
- Abstract: “Longitudinal analysis of HIV clinical outcomes reveals persistent racial and ethnic disparities in Florida from 2012-2019” by Rich SN, Hu H, Xia Y, Liu Y, Lucero R, Spencer EC, Cook RL, & Prosperi M won second best abstract at the Florida Community, Providers, Research Conference on HIV in April 2021.
- Jun I, Rich SN, Bian J, Chen Z, Prosperi M. Challenges in replicating secondary analysis of electronic health records data with multiple computable phenotypes: a case study on methicillin-resistant Staphylococcus aureus bacteremia infections. International Journal of Medical Informatics. September 2021, 104531, ISSN 1386-5056.
- Dr. Prosperi and Dr. Salemi, Pathology (in collaboration with Dr. Azarian at University of Central Florida) receive funding from the Rockefeller Foundation to expand genomic surveillance and epidemiology capacity in Central Florida and Southeastern US.
- Dr. Prosperi published a new paper on Causal AI: “Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN).“
- Dr. Marini’s proposal to the Consortium for Medical Marijuana Clinical Outcomes Research has won a grant ($67,309) to study the effects of cannabidiol (CBD) in curbing chronic inflammation of people living with HIV at the single-cell level. Dr. Simone Marini is PI and Dr. Carla Mavian is MPI.
- DISL Postdoctoral scholar Yiyang published “Liu Y, Siddiqi KA, Cook RL, Bian J, Squires PJ, Shenkman EA, Prosperi M, Jayaweera DT. Optimizing identification of people living with HIV from electronic medical records (EHR): Computable phenotype development and validation.” at Methods of Information in Medicine [in press], 2021
- Inyoung Jun received KSEA-KUSCO* scholarship which is to recognize Korean graduate students in the US who excel in academics as well as in services to the community, and have demonstrated a potential to become future leaders of the society for closer cooperation between the U.S. and Korea.
- DISL PhD student Inyoung Jun presented her work “How can machine learning improve prediction of hospital deaths due to drug-resistant bacterial disease?” at UFII Fellows Journal Club on April 29th, 2021.
Recent Publications
For the most up-to-date list, please visit: Google Scholar
Follow us on Twitter: Mattia Prosperi@MasahikoKim, Shannan N Rich@rich_shannan