Aileen Cleary
Papers
1
Total Citations
3
H-Index
1
About
Dr. Aileen Cleary is a rising leader in the field of autonomous experimentation, with a primary focus on advancing the capabilities of Self-Driving Labs (SDLs). Her most cited work, "Exploring Benchmarks for Self-Driving Labs using Color Matching" (2023), introduces a novel, accessible benchmark for evaluating SDL performance. By framing the challenge as a color-matching task—identifying the precise quantities of colored pigments to replicate a target hue—Cleary provides a standardized, low-cost method for testing the decision-making and automation loops of these complex systems. This contribution is critical for the broader adoption of SDLs in scientific workflows, as it offers a clear metric for comparing different platforms. While her citation count is still growing, reflecting the early stage of her career, her work has already established a foundational tool for the community. Cleary’s research is paving the way for more efficient, autonomous discovery in materials science and chemistry, making her a key voice in the future of high-throughput experimentation.
Research Focus
Key Achievements
Top Papers
- 1Exploring Benchmarks for Self-Driving Labs using Color Matching3 citations · 2023