● Joined as Research Assistant for bike sharing research project: loaded data from Google Cloud Platform, built automation for data processing and data transformation to csv format for future machine learning process.● Joined as Teaching Assistant for Decision Modeling, Data Driven Analytic, and Decision Analytics.● Graded homework and exams, targeted issues and provided feedbacks for students’ submission, generated statistical reports and summarized common mistakes in final review lecture. Hold weekly office hour.

● Crawled entire database of public listed companies' annual reports in 2015~2019 from Wind.● Extracted data from PDF and constructed regression models after text mining and natural language processing.● Proved ineffectiveness of encouragement innovation policies in a paper with a team of 3, and ready to publish.

● Conducted software testing towards Rust compiler, adopting EMI method in Abstract Syntax Tree form.● Obtained test result as no error in always-true check and reported unexpected warnings in always-false check.● Conducted string solver fuzzing testing, with grammar-based and mutation-based test-case generator.

● Researched and classified data science and cloud components by usages in Microsoft Azure. ● Tested key factors’ performance for tools like Azure Machine Learning, Databricks, with their competitors; summarized how Azure deployed components to satisfy the needs of data analysis and ML in an article.

● Screened out all possible malicious attack, and repaired 3 bugs in early warning system.● Kept daily maintenance for the platform within both administrator and guest role, no malicious attack was found.● Led the information security testing and model checking program, verified the safety and functionality of 1 client company's products, based on detailed product descriptions.