David publishes a review article in Lab on a Chip
- CIDAR
- Aug 17, 2022
- 1 min read
Working with CIDAR Lab alum Ali Lashkaripour from the Fordyce lab at Stanford University, David co-authored a review paper surveying the applications of machine learning for microfluidic design and control. They also highlighted the challenges and outlook for machine learning-enabled microfluidics.
Read the article here: https://pubs.rsc.org/en/content/articlehtml/2022/lc/d2lc00254j
Their discussion of challenges—such as limited datasets, model interpretability, and integration with experimental Escape Road workflows—is particularly valuable, as it grounds the excitement around machine learning in practical reality.