Hi, my name is Mayer
I'm a data scientist, public health informaticist, and computer scientist fascinated by how technology solves real-world problems—especially applied AI in public health and production ML systems.
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🔭 I'm currently a Data Scientist at the CDC, helping public health professionals upskill and implement AI/ML solutions. My work spans predictive modeling, NLP, patient matching algorithms, big data analytics, data visualization and generative AI systems.
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🔨 I build tools, proof of concepts, and tutorials that modernize health systems. Check out duplicategenerator, cdc-text-corpora, injury narrative coding, and patient matching.
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📚 I advance AI/ML capabilities across CDC through technical consultation, problem-solving, and creating learning materials that bridge research and real-world application.
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🎓 Graduate of the Public Health Informatics Fellowship Program (PHIFP) and Georgia Tech's MS in Computer Science.
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💡 I love projects at the intersection of AI research and healthcare impact.
I'm best reached via LinkedIn. Always open to conversations about AI in healthcare, public health informatics, or interesting technical challenges. 🤝
Below is a list of technologies (mostly open-source frameworks, libraries, and languages) I regularly use and enjoy working with. If you want to see more of what I do or have done, check out my GitHub.
Transformers, PyTorch, TensorFlow, Scikit-Learn, Hugging Face, BERTopic, Langchain, OpenAI API and Agents SDK, Weights & Biases.
Azure ML Services, Amazon SageMaker, Databricks, Docker, GitHub Actions.
Python, JavaScript/TypeScript, SQL, Pandas, NumPy, FastAPI, React, Next.js, Jupyter.
LinkedIn · Based in Atlanta, Georgia

