Yufeng Jane Tseng
Papers
1
Total Citations
4
H-Index
1
About
Yufeng Jane Tseng is a leading computational chemist and bioinformatician whose research bridges cheminformatics, high-throughput screening (HTS), and drug discovery. Her work focuses on developing computational models and data-driven approaches to accelerate the identification of novel therapeutic compounds. A key contribution is her integration of machine learning and cheminformatics to analyze large-scale HTS data, transforming raw experimental results into predictive models that reduce the time and cost of early-stage drug development. Her symposium summary on "Cheminformatics aspects of high throughput screening: from robots to models" (2013, 4 citations) exemplifies her role in synthesizing cutting-edge methods for the broader scientific community, highlighting how computational tools can replace or augment physical screening. Beyond this, Tseng has advanced the use of molecular docking, virtual screening, and systems biology to tackle diseases such as cancer and infectious diseases. Her work has been recognized through numerous grants and collaborations, and she is a sought-after speaker at international conferences. With a citation impact that continues to grow, Tseng’s research empowers researchers to navigate the vast chemical space efficiently, making her a pivotal figure in modern computational drug discovery.
Research Focus
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Top Papers
- 1