Gejia Tian

• Participated in an interdisciplinary project focused on enhancing inclusivity and accessibility in museum environments, specifically at The University of Sydney's Chau Chak Wing Museum.
• Engaged in collaborative efforts to propose actionable recommendations aimed at achieving the museum’s goals of accessibility and inclusion.
• Utilized a combination of personal insights and academic knowledge to develop innovative solutions for creating engaging, safe, and inclusive spaces within the museum, catering to diverse stakeholder needs.
• Worked within a team environment to integrate various disciplinary approaches and perspectives, fostering a comprehensive understanding of complex, real-world problems in the cultural sector.

Key Achievements:

• Developed a detailed proposal encompassing innovative accessibility and inclusivity strategies for the Chau Chak Wing Museum, which much focus on the construction of family-friendly facilities.
• Enhanced interdisciplinary teamwork and communication skills through collaboration with peers from diverse academic backgrounds.
• Contributed to the museum's ongoing efforts to become a more inclusive and accessible cultural institution.

• Engaged in a comprehensive mathematics project that emphasized the interdisciplinary applications of mathematical concepts in biology, specifically in the study of protein-protein interaction (PPI) networks.
• Conducted research using complex network theory and algorithmic implementations, such as community detection algorithms, to analyze interactions within a yeast PPI network comprising over 6500 nodes and 1.8 million interactions.
• Collaborated closely with biochemists to identify key proteins and their interactions related to specific diseases, contributing to the development of experimental approaches for studying protein regulation or deletion effects on organisms.
• Gained proficiency in Python3 and other computational tools (e.g., Jupyter Notebooks, Networkx) for data analysis and problem-solving in interdisciplinary contexts.

Key Achievements:

• Acquired skills in teamwork, research, writing, and project management, alongside deepening mathematical and computational knowledge.
• Developed the ability to apply disciplinary knowledge in interdisciplinary teams, effectively solving complex problems and communicating findings to a diverse audience.
• Enhanced understanding of the real-world applications of mathematics in biological research, particularly in the study of disease mechanisms.

• Served as a development consultant for the Laboratory Data Generator Project, working directly with Dr. Clemson to enhance data simulation and analysis tools for research use.
• Collaborated with a cross-functional team to improve the algorithmic design and performance of the data generator, resulting in more accurate and efficient data outputs for biological and biochemical experiments.
• Conducted needs assessments with laboratory teams to identify data processing gaps, providing technical recommendations for system improvements and user interface optimization.
• Contributed to code debugging, testing, and validation to ensure the robustness of data generation outputs, which directly supported ongoing research in the biochemistry department.
• Presented progress reports to both technical and non-technical stakeholders, effectively translating complex development updates into actionable insights.

Key Achievements

• Improved Data Processing Efficiency
  Enhanced the algorithm used in the Laboratory Data Generator, significantly reducing the time required for data simulations in biochemical experiments.
• Optimized User Interface
  Led the redesign of the user interface, improving user experience and reducing data entry errors by 20%, based on feedback from lab teams and researchers.