Summary
Sifei Han is a Data Scientist II at the Children’s Hospital of Philadelphia with 11 years of experience applying NLP, sentiment analysis, and text classification to healthcare and policy contexts. She holds a PhD in Computer Science from the University of Kentucky and has progressed from research and postdoctoral roles to production-focused data science work, translating complex text data into actionable insights for clinicians and administrators. Her background includes building proposal-mining and summarization tools, social media sentiment algorithms, and reproducible teaching resources that measurably improved student outcomes. Known for clear communication, initiative, and cross-team collaboration, she combines academic rigor with a practical knack for deploying ML solutions in institutional environments. An interesting thread through her career is a consistent focus on tailoring text analytics for specialized stakeholders—policy makers, product teams, and healthcare professionals—rather than generic consumer-facing models.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at University of Kentucky
High School, High School at Henry Clay High School
Chinese, English