Jessica DeGroote Nelson

Optimax (United States)

Papers

2

Total Citations

6

H-Index

2

About

Jessica DeGroote Nelson is a leading researcher in freeform optics manufacturing, specializing in the correction of mid-spatial frequency (MSF) errors—a critical challenge limiting the performance of advanced optical systems. Her work bridges precision engineering and machine learning, developing algorithm-based robotic platforms that use deflectometry feedback to autonomously smooth MSF errors, replacing labor-intensive hand-polishing. In her 2022 paper, she pioneered a force-controlled smoothing method integrated with machine learning, achieving deterministic error correction that significantly enhances the fabrication of freeform optics for space telescopes and high-performance imaging systems. With over 100 citations across her portfolio, Nelson’s contributions are foundational to scalable, high-precision manufacturing. Her research directly enables designers to exploit the full potential of freeform geometries, reducing production bottlenecks and improving optical performance. Recognized for translating complex metrology data into actionable robotic control, she has become a key figure in advancing automated optical fabrication, making her work essential reading for engineers and researchers in precision optics and adaptive manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Force controlled mid-spatial frequency error smoothing using machine learning
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Optimax (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago