Ping-Chun Lin Email & Phone Number

Seattle, Wa, Us

Seattle, Washington, United States

• Utilized Python/R to implement a data pipeline with Docker and AWS, reducing processing time by 97% through optimized ETL scripts and parallel processing techniques.• Co-developed machine learning models (XGBoost/GAM) for threshold prediction, expanding coverage and scalability, enhancing relevance to global industries (e.g., agriculture), and enabling tailored decision-making for clients.

Greater Seattle Area

• Developed a novel data-driven model using linear and lasso regression with Python to predict key environmental parameters. Conducted statistical analysis of previously unused experimental data features, uncovering new insights and strategies for predictive modeling, resulting in multiple research publications.• Created an application to analyze feature changes from multimodal data (visual, sensors) over a time series, with findings published in a high-impact journal

Seattle, Washington, United States

• Led experiments, graded coursework, and answered questions from 120+ students.• Mentored multiple students and designed three remote-friendly lab experiments for effective virtual learning experiences.

Seattle, Washington, United States

• Designed and developed an end-to-end computer vision pipeline with Python for labeling instances on satellite images using CNNs and Foundation Models with high accuracy, reducing 90% of the processing time and cost for manual labor.• Co-authored a report to stakeholders about the performance of the model and utilizing machine learning techniques for climate change research

Doctor Of Philosophy - Phd, Earth And Space Sciences/Data Science

Master Of Science - Ms, Applied Mathematics

Bachelor'S Degree, Physical Sciences

Concentration: Physics Minor: Applied Mathematics

Business Administration And Management Information Systems