The AI Scientific Working Group (AI-SWG) brings together researchers, data scientists, and community partners to promote the use of artificial intelligence (AI) in HIV research. Our mission is to accelerate the integration of cutting-edge AI techniques—such as machine learning, natural language processing (NLP), and predictive modeling—into studies aimed at improving HIV prevention, diagnosis, and treatment.
By developing practical tools and resources, hosting training events, and fostering interdisciplinary collaborations, AI-SWG empowers both early-stage and experienced investigators to apply AI to critical challenges in the HIV research landscape.
AI-SWG serves as a hub for:
- Hands-on training in AI applications for HIV research
- A living compendium of AI tools, datasets, code examples, and tutorials
- Networking opportunities to connect HIV scientists with AI experts
- Promoting innovative AI-driven solutions to complex public health questions, such as:
- Optimizing HIV treatment algorithms
- Mapping hidden transmission networks
- Enhancing predictive models for care engagement
SCIENTIFIC AIMS:
Aim 1: Science: Promote and share innovative AI technologies for HIV prevention and care through a comprehensive AI Resource Guide designed for faculty, early-career researchers, and students.
Aim 2: Networking: Build strong collaborations among scientists, community leaders, and technical experts to identify unmet needs and inspire new, AI-based methodologies in HIV research.
Aim 3: Capacity Building: Mentor and train investigators to strengthen their AI knowledge through workshops, shared resources, and applied learning opportunities.
KEY ACTIVITIES
- AI Resource Guide: A continually updated online guide featuring analytic tools, datasets, software platforms, and expert contacts for AI and machine learning in HIV research at CDU and UCLA.
- AI / HIV Research Seminar Series: Hybrid seminars showcasing work from AI-SWG members and guest speakers. Open to faculty, students, staff, and community stakeholders from both campuses.
- Hands-On AI / HIV Research Training Workshops: Offered in partnership with the CTSI Biomedical Informatics Core, these workshops provide step-by-step guidance on using AI tools for HIV research.
- Year 1 Focus: Analytic software and techniques
- Year 2 Focus: AI-powered intervention strategies
Contact the SWG
W. Scott Comulada, DrPH, SWG Director
wcomulada@mednet.ucla.edu
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