Peiran Zhang

Duke University, Insilicos (United States)

Papers

2

Total Citations

26

H-Index

2

About

Peiran Zhang is pioneering the convergence of artificial intelligence, robotics, and microfluidics to transform biomedical research and drug discovery. His work centers on developing automated laboratory systems capable of manipulating biological samples with unprecedented precision, particularly at the single-cell level. Zhang’s major contribution, the PULSE system (2024, 15 citations), introduces a breakthrough method for ultrasonic liquid sample ejection that enables precise, biocompatible handling of individual cells—a critical advancement for single-cell genomics and personalized medicine. In parallel, his AI-driven robotics platform (2024, 11 citations) successfully identified TNIK inhibition as a potent senomorphic agent, demonstrating how automated laboratories can systematically screen for compounds that combat cellular aging. This work directly addresses one of the hallmarks of aging, positioning Zhang at the forefront of longevity therapeutics. By integrating machine learning with robotic experimentation, he is accelerating the discovery pipeline for drugs that simultaneously target aging and disease. Zhang’s research represents a paradigm shift toward fully automated, intelligent laboratories that can operate at the single-cell resolution, promising to democratize high-throughput biology and unlock new frontiers in precision medicine.

Research Focus

Key Achievements

2
H-Index
2
Papers
26
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Automating life science labs at the single-cell level through precise ultrasonic liquid sample ejection: PULSE
15 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Duke University, Insilicos (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago