Applications of machine learning in biosciences
Trainer: Jiawei Wang
Overview: In this session, you’ll explore how machine learning (ML) can be a powerful tool for addressing complex biological problems. Through real-world case studies, you’ll see how diverse biological data types can be transformed into structured inputs for ML. We’ll conclude with a deep dive into the protein function prediction problem—an area of long-standing interest—showing how scientists have transitioned from classical ML methods to modern deep learning approaches as the field has advanced. By the end, you’ll gain insight into how to frame biological questions in ways that reveal predictable patterns in data—and how modern AI tools can help uncover those patterns.
Learning outcomes
- Recall examples of machine learning applications in biosciences
Materials