Welcome to my personal website 
I’m a data scientist in the AstraZeneca R&D graduate program, currently based in Gaithersburg, MD, U.S., with two years of experience driving innovation at the intersection of data science and healthcare. I have a strong passion for harnessing data-driven solutions to advance medical research and ultimately improve patient outcomes.
My expertise spans statistical analysis, machine learning, and artificial intelligence applied to real-world, biological, imaging, and clinical datasets. I have led and delivered innovative projects, including the deployment of GenAI models across therapeutic areas such as respiratory disease and oncology. I am skilled in Python, R, SQL, and AWS, and excel at collaborating within cross-functional teams to translate complex methodologies into actionable, impactful insights.
Originally from Beijing, China, I pursued my higher education in the U.S., making me fluent in both Mandarin and English. Outside of work, I enjoy reading detective novels, swimming, and spending quality time with friends. I am actively exploring career opportunities in Beijing, Shanghai, or the U.S.—if my background interested with you, please feel free to get in touch :)
pandas, matplotlib, plotly, statsmodels), Machine learning & Deep Learning (scikit-learn, Pytorch, TensorFlow)LangChain, LangGraph, LlamaIndex), NLP (NLTK, spaCy),caret, ggplot2, glm, etc.),Pharmacoepidemiology analysis of respiratory diseases (Asthma, COPD and Bronchiectasis)
A proof-of-concept (PofC) chatbot using agentic AI and AWS to accelerate clinical trial protocol document workflows
A PofC Computer Vision project that automated pre-screening pipeline for HRD in ovarian cancer patients using commerical imaging data
Implemented a novel ML pipeline via unsupervised-learning and DL models, addressing on automated gating of single-cell flow cytometry data for leukemia diagn...