• Organized events to connect the community of psychology research and data science, fostering interdisciplinary collaboration at Texas A&M University.• Held workshops, seminars, and colloquiums on topics like machine learning and NLP to enhance knowledge sharing.• Connected communities within the university and boosted collaboration efforts to drive innovation in data science.

Instructed undergraduate classes in psychology and statistics, fostering a strong foundation in data analysis and research methods for over 300 students at Texas A&M University. Guided students in utilizing SPSS and Jamovi for data visualization and analysis, enhancing their analytical and reporting skills. Analyzed student statistical competencies to refine course design and tailor teaching methods to improve understanding of statistical concepts.

I conducted and optimized behavior change experiments, developed data analysis frameworks, and mentored research assistants to enhance project output and efficiency.• Leveraged simulation power analysis and sample adjustments for experiments.• Developed a reusable data analysis framework in R and Python.• Mentored and trained 10+ undergraduate research assistants.

In my role as a Research Assistant at National Chung Cheng University, I analyzed educational performance records, developed targeted instructional strategies, and utilized advanced algorithms to enhance early detection accuracy for learning deficiencies. I designed and programmed behavioral experiments using Python and PsychoPy, enriching insights into cognitive patterns.