1. Introduction
1.2. Automated Model-Building
2. Elucidation of Machine Learning Strategies
2.2. Active Learning
2.3. Transfer Learning
2.4. Reinforcement Learning
3. Current Integration of Machine Learning in Bioprocess Subfields
4. Challenges and Future Research Directions
4.1. Challenge 1: Reproducibility Crisis
4.2. Proposed Research 1: Promote a Culture of Inferential Reproducibility in Bioengineering
5. Conclusion