Christina's passion lies in artificial intelligence, especially Large Language Models and machine learning. Proficient in machine learning, natural language processing, and Python/Matlab, she aims to apply her skills in real-world, commercial applications, merging her academic expertise with practical problem-solving. She is also open to new filed of research.

Yihan's research interests include the translation of lab discoveries into diagnostic biomarkers in clinics. Yihan is skilled in molecular biology, R language for quantitative data analysis, and Adobe Illustrator for medical illustration. She is equipped with interpersonal skills, such as excellent communication and presentation skills, project management skills, teamwork in a multidisciplinary environment, and liaison skills with external organizations (the AIBL study). Yihan would like the opportunity to apply both these skills to the forefront of health industry.

Laurene is a second-year Ph.D. student at USyd, focusing on the Australian Tick Microbiome Project. She initiated this project in collaboration with UNSW to characterise microorganisms in Australian ticks. Through this research, she hopes to provide clarity and remove the controversy surrounding tick-borne diseases in Australia, allowing patients to better access diagnostics and treatments. She is also an experienced Technical Assistant (USyd and Amgen), Science Communicator (UNSW Science Ambassador) and Teacher (highschool and undergraduate classes at UNSW and USyd).

Bhushan is a PhD student at UNSW researching machine learning applications in financial markets, with experience working as a Derivatives Trader and Site Reliability Engineer. He is highly skilled in Quant Trading, Full Stack Development, Natural Language Processing, Python, Java, AI & ML. Bhushan would like the opportunity to apply his education and experience commercially.

Balu’s research interests include efficient large-scale simulations of the early Universe. He is skilled in high-performance computing, and parallel programming and has extensive experience using C, Python, and bash scripting, as well as data visualisation. Balu would like the opportunity to apply his skills commercially.

With a diverse academic background spanning Aerospace Engineering, Bioinformatics, Public Health, and Information Technology, Aziida seeks a challenging position in Engineering. She aspires to leverage her expertise in Machine Learning, advanced modeling, data analytics, and Natural Language Processing to contribute to cutting-edge research, innovation, and lifelong learning. Proficient in SPSS, MATLAB, Python, R, and Microsoft Office Suite, Aziida is committed to making a significant impact in the field, making her an ideal candidate for internships.

Bingyi Han is passionate about exploring the ethical complexities surrounding AI implementation in sensitive contexts. Her expertise lies in developing human-centric, ethically-driven technology solutions by conducting interviews, focus groups, and qualitative analysis. She is motivated to pursue an internship to further cultivate these skills and contribute to responsible AI advancement.

Urmi's research interest include microbiological techniques specially antiviral testing. She is also skilled in molecular biology like PCR, genome analysis etc. Urmi would like the opportunity to apply her research commercially.

Balaji Dasari is a proficient researcher with a strong academic background. His expertise spans econometrics, financial analysis, and artificial intelligence, with a particular focus on modeling and understanding the influence of news on commodity markets. His commitment to advancing research in these fields drives his interest in pursuing an internship, where he can apply and further develop these academic skills.