Using AI Agents for Data Analysis and Validation in Health Research

Using AI Agents for Data Analysis and Validation in Health Research

Objectives:

• Describe the role of AI agents in data analysis and compare their functionalities with traditional Large Language Models (LLMs).
• Demonstrate how to use a Google AI agent (e.g., Gemini) in Google Colab for collaborative, step-by-step data analysis, including code generation, explanation, and interaction with research datasets.
• Outline the process of planning a statistical analysis with an AI agent, including formulating insights and approving the analysis plan.
• Apply an AI agent to perform data analysis tasks such as hypothesis testing and generate key statistical outputs, including tables and figures.
• Evaluate and validate statistical results in collaboration with the AI agent

Record is now available!

Speaker: Dr. Hamdi Alhakimi, MSc in Epidemiology | MD in Community Medicine | MPH Utrecht

 Brief:

Dr. Hamdi Alhakimi is a highly experienced and accomplished public health professional with a strong background in epidemiology, biostatistics, and research methodology. Demonstrated expertise in leading and supervising academic programs, conducting groundbreaking research, and implementing effective public health strategies. Skilled in statistical analysis and proficient in a range of software tools, including SPSS, the R program, and Python. Well-versed in artificial intelligence algorithms such as Neural Networks, Support Vector Machine, and Random Forest. Additionally, experience with other specific-use software, such as Pajek for Social Network Analysis and Berkeley Madonna software (Mathematical modeling of epidemics). Preparing and analyzing complex data sets, generating actionable insights, and developing innovative models to predict and manage epidemics. Proven ability to collaborate with multidisciplinary teams and deliver comprehensive training sessions. Committed to improving global health outcomes through evidence-based approaches and strategic decision-making.