Conducted research on generative fairness and bias in large language models (LLMs) within the context of political ideology.Developed methods for calculating and evaluating political ideologies to conduct blind testing on LLMs.Automated the data collection process using Python and an API, resulting in a 400% increase in efficiency, and optimized the looping method by applying an automation convergence algorithm to save on resource consumption.Built and maintained a comprehensive database of ideology topics and their evaluations, containing over 140,000 entries.

● Led weekly seminar workshops for CSC 172 Data Structures and Algorithms and facilitated student discussions, sharpening students’ understanding of course materials through collaborative problem-solving and discussion of materials.● Conduct a pedagogical research project to determine whether extending office hours before and/or after workshops could enhance students' understanding and academic performance.● Provided regular feedback to professors to improve course design and learning materials.● Collaborated in the 'Team Learning in Action' project, providing key participant data and insights to support an NSF research initiative.

Created a biomedical patent database using MySQL to support Dr. Conjing Ran and his Ph.D. Shengshen Liu’s research group.Improved data collection efficiency by 20% by building an automated web crawler script in Python.Collected and labeled 18,000+ entries as sample data contributing to language model training. and assist in deploying the LLM as a chatting bot.Utilized Lucidchart to design Entity Relationship Diagrams(ERDs), encompassing 100+ keys and attributes, to optimize data visualization and management.

Lead weekly seminars for CSC171, providing students with opportunities to apply their computer science knowledge to solve problem sets and reinforce course concepts.Facilitate group discussions to supplement and derive knowledge points from the course material, helping students gain a deeper understanding of the subject matter. Assist students in preparing for exams by reviewing key concepts and providing practice problems.Collaborate with professors to design and implement course curricula, including developing lecture materials, assignments, and exams. Conduct weekly meetings with professors to discuss student progress and provide feedback on coursework and workshop.Assist in teaching research projects SOTL for the course, including conducting experiments, analyzing data, and presenting findings.

Provides support for the operation of school facilities by inventorying and replenishing consumables, transporting large equipment, performing indoor environmental cleanup and maintenance, environmental disposal of electronic equipment, sorting and destroying sensitive documents, participating in periodic resource recovery, and using tools to move, reset, repair, refinish, and dispose of school property.Assist supervisors in liaising with the needs of different regions, interfacing with different departments, deploying and managing Operations Assistants

Collaborated with Dr. Zhu and Dr. Jarvis, on digitally reconstructing the Jamestown Settlement utilizing innovative, cost-effective 3-D Virtual Reality (VR) reconstruction and modeling techniques.Transformed high-fidelity models into compact, visually comparable models suitable for VR environments, enhancing the accessibility of historical digital reconstructions.Employed Agisoft Metashape and Unity to create detailed 3D models, conducting thorough screening, cleansing, and restoration of raw image data for optimal 3D modeling and VR application.Achieved a notable 2000x reduction in average model file size through careful optimization and utilized Agisoft Metashape and Adobe Photoshop to refine visual aspects, ensuring a realistic and engaging VR experience.