
"Smart grids, EVs and renewables are generating vast amounts of complex data in the power industry. It's extremely exciting to see how AI and deep learning can help us extract insights from this data to empower better technologies and energy solutions."
Wendi Ma
API Bursary Recipient (Graduating 2023)
WHO ARE THEY: I'm Wendi Ma, a Mechatronics and Mathematics student at the University of Queensland currently with a GPA of 6.81/7. I'm highly passionate about deep learning and scientific computing, and thoroughly enjoy research, programming and problem solving. Recently, I worked as a part-time Research Software Engineer, submitted a ML conference paper, and am now continuing with the same supervisor for my Honours thesis. Previously, I interned at API partner Redback Technologies where I developed simulations and data analysis tools for household solar systems. I've also been the UQ IEEE Student Branch Chair, a UQ maths tutor and tech journalist.

KEY STRENGTHS: Scientific computing, applied mathematics, machine learning
WHY CHOOSE THIS DEGREE?

My Journey
Where it all started for me
Completed High School
What did I end up studying?
Bachelor of Engineering (Hons) / Bachelor of Mathematics from the University of Queensland
Entering the industry
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My previous work experience
My work placement experience
I thoroughly enjoyed my time at Redback Technologies as it was my first experience employing my knowledge in a practical/professional setting. It was very eye-opening joining a highly multi-multi-disciplinary team and seeing how people with different areas of expertise could join together to realise great ideas. It was also very satisfying taking ownership of a project of my own and seeing through its progress.
What I'm doing now
I'm currently undecided yet whether to directly take on a graduate job or to pursue further studies, but my long-term goal is join a cutting-edge industry research lab/RnD team as a research scientist. This is as I thoroughly enjoy working on long-term projects, trying out ambitious new ideas and keeping up with the latest in deep learning theory. A graduate job would be beneficial for getting a heard-start in industry experience, whilst a PhD is often required for Research Scientist roles and would allow me to further explore areas of interest and learn advanced research techniques.
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