Simone Marini, PHD
Assistant Professor
On This Page
About Simone Marini
Simone Marini, PhD is a biomedical engineer by training. He designs AI applications for medicine, molecular biology, and public health. These applications are aimed at (a) enhancing the understanding the molecular machinery of the studied phenomena, e.g., providing a biological insight, hypothesis generation; (b) assisting clinical and public health decision making, e.g., diagnosis, prognosis, causal inference; and (c) facilitating research and data analysis (bioinformatics tools). Dr. Marini is currently focused on HIV, SARS-CoV-2, antimicrobial resistance, and the molecular aspects of the inflammatory process. Dr. Marini teaches two graduate courses: Topics in Precision Medicine and Public Health Informatics, and Computational Data Science for Epidemiology.
Teaching Profile
Courses Taught
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PHC7083 – Artificial Intelligence and Data Science for Epidemiology and Population Health
College of Public Health and Health Professions
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PHC7199 – Topics in Precision Medicine and Public Health Informatics
College of Public Health and Health Professions
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PHC6941 – MPH Applied Practice Experience
College of Public Health and Health Professions
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PHC7918 – Epidemiology Independent Study
College of Public Health and Health Professions
Research Profile
0000-0002-5704-3533
Areas of Interest
- Antimicrobial Resistance
- Artificial Intelligence (AI)
- Data Integration
- HIV
- Inflammation
- Machine Learning
Publications
Academic Articles
Presentations
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An anti-inflammatory gene expression signature is associated with CBD treatment in people living with HIV
National / Invited. [Symposium]. Consortium for Medical Marijuana Clinical Outcomes Research, Orlando
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Learning on Forecasting HIV Epidemic Based on Individuals’ Contact Networks
International / Refereed. [Poster]. NIH, Rome, Italy
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OCTOPUS: Disk-based, Multiplatform, Mobile-friendly Metagenomics Classifier
International / Refereed. [Paper]. NIH NIAID R01AI145552; NIH NIAID R01 AI170187; NIAID 1R01AI141810; NSF SCH 2013998,
Grants
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Causal AI for Predictive Modeling of Dengue Trajectories: A Comprehensive Approach Considering Climate Variability and Intervention Strategies
Active
- Role:
- Principal Investigator
- Funding:
- MERCK SHARP & DOHME
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Genomic characterization of antimicrobial resistance and viral co-infection patterns of Streptococcus pneumoniae by next-generation sequencing and artificial intelligence.
Active
- Role:
- Principal Investigator
- Funding:
- MERCK SHARP & DOHME
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Medical Marijuana and chronic musculoskeletal pain in older adults: a multi-level, precision medicine analysis
Active
- Role:
- Principal Investigator
- Funding:
- NATL INST OF HLTH NIA
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Recurrence of Cholera in Haiti: Exploration of Contributing Factors and Intervention Strategies
Active
- Role:
- Co-Investigator
- Funding:
- NATL INST OF HLTH NIAID
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A Phylodynamic Artificial Intelligence framework to predict evolution of SARS-CoV-2 variants of concern in Immunocompromised persons with HIV (PhAI-CoV)
Active
- Role:
- Co-Investigator
- Funding:
- NATL INST OF HLTH NIAID
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Expanding genomic surveillance and epidemiology capacity in Central Florida and Southeastern US
- Role:
- Co-Investigator
- Funding:
- THE ROCKEFELLER FOU
Education
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PhD, Bioengineering
The Hong Kong University of Science and Technology
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MSc, Biomedical Engineering
University of Pavia
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BSc, Biomedical Engineering
University of Pavia
Contact Details
- Business:
- (352) 294-8951
- Business:
- simone.marini@ufl.edu
- Business Mailing:
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Box 100231
Dept. of Epidemiology
GAINESVILLE FL 32611 - Business Street:
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Box 100231
Dept. of Epidemiology
GAINESVILLE FL 32611