● Principal Investigator (team leader) of a NASA-funded AI project, directed the system design for geospace environment forecast, developed neural network models (ANN, CNN, LSTM) using Python, PyTorch, and object-oriented design, yielding a correlation coefficient of 0.9, now adopted by NASA and over 20 institutions.● Developed a custom Transformer-based NLP model for translating English to Chinese, achieving a BLEU score of 0.3. Deployed ChatBots for 3+ organizations, streamlining customer relations and communications.● Created globally utilized software for signal processing and satellite data analysis, enhancing data processing accuracy and research efficiency for over 100 space science institutions, and leading to 10+ publications● Directed the software development lifecycle of Earth’s radiation belt model, including system design, implementation (C++, Fortran & Python), unit test, and deployment, leading to 20+ peer-reviewed publications and ~800 citations.● Solved a 50-year-old problem in space science, leading to publications on top-tier journals like Nature Communications.● Managed server infrastructure, deploying Linux systems and providing IT support for a research group of 30+ members over 10 years, ensuring seamless operations and data integrity.

Chair of STEM Seminar Series; Chair of CESASC Scholarship; Chair of Lisa Lu Scholarship

● Developed a scalable warehouse management system using Python, Django, FastAPI, and MySQL, improving efficiency of delivery order processing and tracking by 80%. The system is actively used by 20+ warehouses.● Designed and implemented an AI-driving service center using Large Language Models (LLMs), Computer Vision (CV) and Optical Character Recognition (OCR) technologies, automating the processing of logistics and accounting documents with an error rate below <1%.● Integrated Generative AI solution for customer services, including email APIs and ChatBots, enhancing customer response time by 99% and improving overall customer interaction quality.