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Zhi Chong Lin

Zhi Chong Lin

Postdoctoral Associate
New York, New York - United States
Base ID: 71542


Ph.D. in Quantitative Computational Biosciences, Baylor College of Medicine

Professional Experience

  • Invent and implement a new and interpretable neural network algorithm that converges 35% faster, reduces 200 times of parameters, and marginally outperforms (AUROC>0.88) traditional neural network in PyTorch.
  • Merged and cleaned data from 3 databases and generated a network of 215,000+ drug-gene-disease associations
  • Implemented and validated graph-based diffusion in Python to predict associations with >90% precision
  • Wrote report with interactive visualization of the analysis of 5,500 job descriptions (1,100+ views in a week)
  • Decreased 94% of time spent in manual annotation by creating a machine learning pipeline using Scikit-learn
  • Postdoctoral Associate & Data Science Certificate

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