Zahra Nourmohamamdi is a dedicated researcher focused on harnessing artificial intelligence for last-mile delivery optimizations. Drawing from real-world scenarios, she seeks to bridge the gap between AI advancements and practical applications. Eager to further explore this intersection, Zahra is keen on joining an internship to apply and expand her skills in dynamic settings.

Meet Kesewa, a passionate PhD student whose research centers around perishable agri-food supply chains and decision-making models. With a broad range of skills, including data analysis, mathematical modeling, and programming, Kesewa is committed to minimizing food waste and enhancing distribution efficiency. Kesewa is thrilled about the prospect of an internship that connects academic research with practical industry applications, as it aligns perfectly with her ultimate objective of making a positive impact on the global food supply chain.

Simran's research interests include biochemistry, molecular biology, and microbiology. She has thorough working experience in biophysical techniques, including CD spectroscopy, fluorescence spectroscopy, DLS, and X-ray crystallography. She is also skilled in bioinformatics tools such as molecular dynamics simulations and in silico ligand screening. Simran would like the opportunity to apply her expertise in an industrial setting.

As a researcher in textual data analysis for product recommendations, Anupama has a deep interest in Machine Learning, Natural Language Processing, Text Analytics, Probability, and Statistics. She particularly passionates about applying her knowledge to real-world applications involving any form of text data. Her skill set includes scientific writing, mathematical modeling, working with large text datasets, and computer programming. She takes pride in her excellent communication skills and is fluent in both reading and writing in English.

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.