Summary
Manqi Cai is a Senior Data Scientist with a PhD in Biostatistics and four years of applied experience building high-impact statistical and machine learning solutions across academia, industry, and regulatory settings. She has led development of scalable R packages and RShiny apps that substantially improved prediction accuracy and reduced computational costs for large single-cell and deconvolution datasets, including tools released on GitHub. Her background spans clinical trial simulation and adaptive design at Amgen, EHR-driven RCT support for chronic kidney disease research, and statistical work at the FDA, giving her a rare mix of translational biostatistics and production ML. Known for optimizing computational efficiency (e.g., cutting resource use by ~60%) and boosting model performance, she excels at turning complex biomedical data into actionable insights while managing cross-functional teams. Based in Newark, CA, she combines rigorous academic training with hands-on software engineering to deliver reproducible, user-friendly analytics for real-world decision making.
4 years of coding experience
6 years of employment as a software developer
Master of Science - MS Biostatistics, Master of Science - MS Biostatistics at Columbia University
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at University of Pittsburgh
Bachelor's degree Pharmacy, Bachelor's degree Pharmacy at Shandong University
deutsch(german), English, cantonese(粤语), chinese(中文)