AI/ML Engineer and PhD candidate researching fluid mechanics at the University of Melbourne. Research integrates mathematical modeling, data analysis, and programming. Possesses strong research skills in problem identification, systematic problem-solving, and academic writing.
– Tutored two graduate-level courses at the Organisation: Vibration (MCEN90046) and Aeroelasticity and Advanced Fluid Dynamics (MCEN90018).
– Tutored one undergraduate level course at Newman College: Calculus 1 (MAST10005). This role encompasses delivering tutorials, marking assignments, and collaborating with
lecturers to enhance course content.
– Completed an internship in Administration. My responsibilities included analysing large-scale climate data of satellite images, temperature and
precipitation as well as maintaining the stored data on cluster computers.
– Responsible for weather forecasting modelling using an in-house code written in Python.
– Translated academic journals written in Chinese from various universities.
– Additionally, provided translation services to organisation, assisting with the operation of screeners purchased from Chinese manufacturing companies.
– Collaborated in a four-person team to devise strategies aimed at recycling soft plastics for organisation.
– Analysed the large-scale plastics recycling data using SQL and proposed simple prediction models. Our team’s final presentation was awarded first prize.
– At the organisation, applied ‘Principal Component Analysis’ to the linearised Navier-Stokes equations model to extract dominant modes in channel flows.
– Developed simulations on a supercomputer to suppress turbulence onset by targeting at the extracted modes.