LLMs with Retrieval-Augmented Generation (RAG)
Frontiers of AI in Medicine (IDPT-8079) — How retrieval grounds large language models, with a NotebookLM walkthrough.
A Brief History of AI in Medicine
Frontiers of AI in Medicine (IDPT-8079) — From early expert systems to modern foundation models, for a clinical audience.
Lightweight Comparative Analysis of Data Formats
Frontiers of AI in Medicine (IDPT-8079) — Trade-offs across common storage formats for scientific data at scale.
Language for Computers: Word Embeddings
Frontiers of AI in Medicine (IDPT-8079) — Word embeddings as the representational basis for large language models.
From Simple Models to Deep Networks
Frontiers of AI in Medicine (IDPT-8079) — An accessible path from linear models to deep learning.
Fairness in Machine Learning for Healthcare
Frontiers of AI in Medicine (IDPT-8079) — Where models encode bias, and what to do about it in clinical settings.
A Gentle Introduction to Machine Learning
Frontiers of AI in Medicine (IDPT-8079) — Core ideas of ML for a medical and research audience.
AI/ML for the Oncology Service Line
Invited talk — Practical framing of AI/ML for an oncology clinical audience.
Invited talk — Opportunities and cautions for AI across the medical curriculum.
Frontiers of AI in Medicine (IDPT-8079) — Getting reliable behavior out of large language models.
Frontiers of AI in Medicine (IDPT-8079) — What agentic systems built on LLMs can and cannot do.
Guest lecture, CUNY — JSON and web technologies for working with data.
CSHL Data course — A hands-on introduction to AI and machine learning for genomics.
CU School of Medicine — An introductory overview of AI and ML for a medical school audience.