Generative AI for Biomedical Research

Generative AI for Biomedical Research

Generative AI for Biomedical Research

Junwei Lu, Harvard University

Course Chapters

From vibe coding to generative AI

Introduction

Course overview and getting started

Coding with AI

AI Copilot, Prompt Engineering, AI Agents

Optimization

Convexity, Gradient Descent, SGD, ADMM

Neural Networks

CNNs, ResNets, Fine-tuning, Training

Language Models Architecture

Word Vectors, Attention, Transformers

Language Models Training

SFT, RLHF, DPO, PEFT

Genomic Foundation Models

Tokenization, Pretraining, Interpretation

Image Foundation Models

ViT, Pretraining, Multi-Modal Models

Self-Supervised Learning

Contrastive Learning, Self-Distillation

Generative Models

Diffusion, Flow Matching, Stable Diffusion

Reinforcement Learning

MDP, Policy Gradients, PPO