Yiming Xie's research interests include fluid dynamics, numerical methods, system design and control, reinforcement learning and robotics. He has a great foundation using Python, Matlab and Labview.

Chen's research interests include data analysis and information management. He is also skilled in machine learning and has experience in using Python and SQL programming languages. Chen would like the opportunity to get to know the real-world dataset and enhance his research skills across industries.

Mick is passionate about using deep learning to improve spatial data resolution and applying his knowledge to solve real-life problems. He also brings extensive experience in civil and project management, as well as business leadership.

Mo's research interests include data analysis and visualisation tools. Certified in Google Analytics and Meta Marketing Analytics, he has developed strong skills in interpreting user engagement metrics and predictive analytics. Skilled in Python, SQL, statistics, and Tableau, Mo seeks the opportunity to apply his skills to real-world projects and expand his practical experience.

Gleb is a PhD student in applied mathematics at the University of Sydney. His research spans differential equations, mechanics, geometry, algebra, and spectral theory. With strong theoretical research output, a background in financial and actuarial mathematics, and extensive experience in programming, data analysis, and blockchain applications, he seeks to expand his skills through experience in quantitative finance.

Gleb is a PhD student in applied mathematics at the University of Sydney. His research spans differential equations, mechanics, geometry, algebra, and spectral theory. With strong theoretical research output, a background in financial and actuarial mathematics, and extensive experience in programming, data analysis, and blockchain applications, he seeks to expand his skills through experience in quantitative finance.

Alice Heyward is a dance artist and researcher exploring performance conservation as an emancipatory practice through approaches to scoring knowledge, the relation between pedagogy and dramaturgy. Her research interests include embodied knowledge, its transmission and transformation, and dramaturgy. She seeks an internship to deepen her understanding of conservation practices and contribute her skills in dance, writing, and critical inquiry.

Hanna Zhu is a PhD researcher exploring how generative AI can co-create with human movement and emotion, particularly through music and dance. With a background in data science, video creation, and rich industry experience in data analytics and products, she seeks internships that bridge AI research and real-world creative applications to expand her practical and technical impact.

Driven by a passion for neuroscience, Azmain investigates the structure-function relationships of NaV1.2, the primary sodium channel in the CNS. With skills in molecular biology, electrophysiology, and structural modeling, Azmain is seeking internship opportunities to expand their translational research experience and contribute to therapeutic advances in neurodevelopmental disorders."