Daniel Johnston is a PhD student at UNSW Canberra specialising in number theory. He has a keen interest in both pure and applied mathematics. In particular, beyond the programming skills he uses in his PhD, he has also done research in ocean modelling and has an interest in doing further work in Environmental science. Daniel is interested in an internship to get a feel for applied work in industry that benefits from his mathematical background.
Donia's research interests include biotechnology, cell biology, drug production, chronic diseases, clinical and preclinical medical and pharmaceutical trials. Donia is skilled in sterile cell culture and expansion, live cell imaging, flow cytometry, metabolic analysis, mouse and zebrafish handling, use of medical terminology and clinical communication. She wishes to connect her research knowledge to her deep medical background as a previously practicing medical doctor, to explore more industrial pathways after completion of her PhD.
Yimin Li is adept in business model innovation and product platforms, driven by a passion for transforming industrialized house building. With expertise in strategic management and innovation, Yimin aims to bridge theoretical insights with practical industry solutions.
Imesha has a keen interest in the field of medicinal and synthetic chemistry. She possesses skills required for designing and synthesizing compounds, purifying and carrying out analytical characterization using various spectrometric techniques (NMR, HPLC and LCMS). Imesha is looking for an internship opportunity that can help her enhance her knowledge experimenting on a variety of organic and inorganic synthetic chemistry. She is also eager to learn about the latest scientific technologies and equipment used in the pharmaceutical industry.
Agustina's research interests include behavioural economics and tax law. She is also skilled in risk management, public policy, and multivariate statistics. Agustina would like the opportunity to apply in any related research.
Lieu's research delves into enhancing cybersecurity using advanced AI techniques, particularly focusing on the application of Large Language Models (LLMs) in Natural Language Processing (NLP) to analyze and interpret cyber threat intelligence. Ultimately, her thesis represents a significant stride in combining AI, cybersecurity, and data science to create more robust digital defense mechanisms.
Clinton's research seeks to develop universal representations and applications of data features learned from non-standardised human motion datasets. Clinton's work involves a high affinity towards computational geometry, Python development, and graphics data visualisations, in order to produce artificial intelligence solutions with extremely low error tolerances.
Quang Du has a deep passion for artificial intelligence and its applications in structural health monitoring. Quang Du is skilled in data processing, deep learning, natural language processing, and generative AI and is experienced in Python programming and deep learning frameworks such as Pytorch, Numpy, and Pandas. Quang Du seeks an internship to apply his research in the industry context.
Lily's research contributes to Prefabricated Construction, Modular Construction, Logistics Planning, Sustainability and Decarbonisation, and Operations Research disciplines. She is skilled at mathematical optimisation and simulation modelling, and is proficient in programming languages Python and Matlab, and simulation software AnyLogic. Lily seeks an internship opportunity to gain valuable practical experience and further develop her skillset.