Polly Fordyce — Microfluidic Platforms and Machine Learning
Analysis
The article provides a brief overview of Polly Fordyce's work, highlighting the use of microfluidics for high-throughput data generation in bioengineering and her experience with biology and machine learning. It's a concise summary, likely serving as an introduction or announcement.
Key Takeaways
- •Microfluidics enables high-throughput data generation in bioengineering.
- •The article highlights the intersection of biology and machine learning in Polly Fordyce's work.
Reference
“Polly explains how microfluidics allow bioengineering researchers to create high throughput data, and shares her experiences with biology and machine learning.”