Jincheng Pang

Principal Data Scientist specializing in healthcare analytics and medical imaging AI

AccessHopeTufts UniversitySudbury, MA11 Years ExperiencePrincipal Level

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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.

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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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Experience

Data ScientistAccessHope LLC · Oct 2024 – Present

Principal Scientist / Head of Data ScienceDynocardia Inc. · Aug 2023 – Sep 2024

Senior/Principal Scientist - Computational BiologyPfizer · Feb 2015 – Jun 2023

Education

Tufts Universitydoctorate, Electrical and Computer Engineering (2014)

Penn State Universitymaster, Applied Statistics (2020)

Chinese Academy of Sciencesmaster, Signal and Information Processing (2008)

Huazhong University of Science and Technologybachelor, Electrical Engineering (2005)

Skills

A/B testing AWS Computer vision Data analysis Data pipelines Deep learning LangChain Logistic regression Machine learning MATLAB Matplotlib MLflow MySQL NumPy OpenCV

Languages

English

Publications

11 publications

Computational biologyImage-based drug discovery assaysMedical image segmentation and classification (UNet)Gene expression prediction from histology imagesComputer vision for behavior recognitionOncology outcomes and care disparities

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