Sifei Han

I am a data scientist with over 7 years of academic experience and 4 years in healthcare, specializing in applying machine learning and deep learning techniques to solve real-world challenges. My expertise lies in natural language processing (NLP), large language models (LLMs), and innovative problem-solving for scalable solutions.

In my healthcare work, I have:

• Applied and fine-tuned large language models (LLMs) for advanced NLP tasks such as bruise detection, Social Determinants of Health (SDOH) extraction, and Research Domain Criteria (RDoC) extraction from clinical notes.
• Developed the Wake Up Safe (WUS) Event Report and Analysis platform, enabling pediatric anesthesiologists nationwide to submit incidents and conduct case analyses.
• Built an Expertise Knowledge Platform (EKP) to help CHOP faculty and staff navigate and identify expertise within internal and external resources.
• Designed a Data Query Platform (DQP) tool to support anesthesiologists in creating initial cohorts for research studies.

I am passionate about harnessing data science to drive innovation and improve outcomes, particularly in healthcare and related fields. If you're looking for a dedicated problem-solver who combines technical proficiency with domain expertise, let’s connect!