Jason Cui

Experience & Projects

Applying computational methods to real-world biomedical challenges and exploring pharma consulting.

Research & Projects

Drug-Target Interaction Prediction

Stanford University - Computational Biology Lab

Developing machine learning models to predict drug-target interactions using genomic data and molecular descriptors. Implemented deep learning architectures to improve prediction accuracy by 25%.

Clinical Trial Data Analysis

Healthcare Analytics Research

Analyzing clinical trial data to identify patterns in treatment efficacy and patient outcomes across therapeutic areas. Created visualization dashboards for stakeholder communication.

Bioinformatics Pipeline Development

Genomics Research Group

Built automated workflows for processing and analyzing large-scale genomic datasets, improving analysis efficiency by 40%. Developed Python-based pipeline for RNA-seq data processing.

Career Interests

Pharmaceutical Consulting

Future Career Path

Eager to work at the intersection of healthcare strategy and data-driven decision making, helping pharmaceutical companies navigate complex market dynamics and clinical development challenges.

Areas of Focus

  • Commercial strategy & market analysis
  • Clinical development optimization
  • Portfolio prioritization
  • Healthcare technology assessment
  • Value-based pricing strategies
  • Regulatory strategy & market access

Industry Knowledge

Actively following trends in precision medicine, gene therapy, immunotherapy, and digital health technologies that are reshaping the pharmaceutical landscape.