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​Technical areas

• Designing studies that account for real-world variation (e.g., sex, age, comorbidities)

• Developing bioinformatic pipelines to analyze omics data

• Integrating and interpreting multi-omic datasets across diverse populations

• Building custom visualizations and reports to communicate variability and key findings

• Training teams on heterogeneity-aware analysis, immune profiling, and sex as a biological variable

• Analyzing sex differences and hormone-related variables in health and disease datasets​

• Ethical AI in biology, input on impact on infectious disease research

Science Communication​

• Communicating science to broader audiences, from researchers to local communities

• Creating memorable outreach experiences by integrating learning through comedy

• Developing effective public health messaging, especially for infectious diseases and vaccines

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If your question is not on these lists, reach out with questions!