I teach data science, machine learning, and applied mathematics with a focus on mathematical foundations,
computation, and current AI topics. Students derive algorithms from optimization principles and implement
models in R or Python. Coursework includes fairness, interpretability, and related responsible-AI topics,
and several class projects have continued as practicum or independent research.
Teaching Experience
Course Development
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Notes |
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DATA 443/643: Advanced Concepts in Large Language Models
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In preparation. A self-contained, project-based treatment of transformers, alignment, multimodal
systems, retrieval-augmented generation, and related topics, with labs in Python, PyTorch, and
Hugging Face. DATA 441/641 and DATA 442/642 are not required.
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