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JP
Jincheng Pang
Principal Data Scientist specializing in healthcare analytics and medical imaging AI
Sudbury, MAData Scientist11 years experiencePrincipalHealthcareBiotechnologyPharmaceuticals
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About
Developed an LLM-driven recommendation agent in Azure Databricks to triage oncology patients and trigger second-opinion case creation using medical claims and EHR data. Uses ICD-10/CPT/J-code features in prompts, embeddings + vector DB similarity, and a backtesting framework emphasizing recall to avoid missing clinically relevant cases while supporting business revenue.
Experience
Data ScientistAccessHope LLC
Principal Scientist / Head of Data ScienceDynocardia Inc.
Senior/Principal Scientist - Computational BiologyPfizer
Education
Tufts Universitydoctorate, Electrical and Computer Engineering (2014)
Pennsylvania State Universitymaster, Applied Statistics (2020)
Chinese Academy of Sciencesmaster, Signal and Information Processing (2008)
Huazhong University of Science and Technologybachelor, Electrical Engineering (2005)
Key Strengths
- Built and deployed an LLM-based recommendation agent for oncology case triage using claims + EHR data
- Designed evaluation using existing manual workflow as ground truth; measured precision/recall
- Backtesting methodology using historical claims and 30-day outcome window to validate case-triggering performance
- Recall-first optimization aligned to clinical impact and revenue outcomes
- Production-minded workflow approach: prototype in pandas then scale to Spark; focus on rerunnable, simple pipelines and edge-case testing
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