Joan Shu Ting Lim
University of Adelaide
Evan Markou is a PhD candidate in machine learning at ANU, where he explores the mathematical underpinnings of artificial intelligence. He earned his Bachelor’s (Honours) in Computer Science from Harokopio University of Athens and completed a Master’s in Machine Learning and Computer Vision at ANU. Evan’s research spans machine learning, nonconvex optimisation, high-dimensional statistics and geometry, and deep learning theory. His interdisciplinary work seeks to uncover the complex principles driving deep neural networks, aiming to create more robust, efficient, and insightful AI systems.
Can you give me a quick rundown about the type of mathematics you are studying and its potential impacts for the broader community
My research focuses on using data from wearable devices, like Garmin, to predict back pain flare-ups. By analysing physiological signals, such as the variation in the time between heartbeats, the aim is to develop model(s) that can provide early warnings and personalised recommendations to reduce back pain flare ups. The broader impact of this work is to help individuals manage their pain more effectively, potentially reducing flare-ups and improving quality of life.
How did you get into mathematics/statistics/data science? Was there someone or something that inspired you to this field?
I’ve always been drawn to problem-solving when it comes to mathematics, and being above average at it in high school made me realise I enjoy taking on complex challenges, and that foundation sparked deeper interest for me to pursue higher education in mathematics.
However, what really inspired a passion for statistics was during my first year at university, I had a privilege of taking a course taught by Dr Melissa Humphries, who is now my current supervisor and a very cool woman in STEM, who showed me how statistics isn’t just about means and standard deviations, but how these techniques can be applied to understand and solve real-world problems. That made me excited to dive deeper into data science and wanted to explore the field even more.
You received a Travel Grant to attend AMSI Summer School 2025. How important was this in terms of your ability to attend, fully participate in the program and meet others studying in similar fields? Do you think it was an advantage to attend the program in-person?
100% it was an advantage to attend the program in person. The Travel Grant ensured that I was able to attend the program in person, which definitely is crucial for me to take full advantage of the opportunities by the Summer School. Being physically present enabled me to engage in meaningful discussions and collaborate closely with peers-things that are harder to replicate remotely.
What was the most valuable part of the program for you?
For me, the most valuable aspect of the summer school was the wide range of subjects offered and the social experience. I had the chance to learn so many things that I couldn’t from my home university, while having the chance to meet amazing people from different places where paths would never have crossed if not for the program.
In the long-term, what do you think are the benefits of having attended Summer School?
Summer School has grown my confidence and given me a much broader knowledge of the many research areas and application of mathematics. Beyond the technical knowledge, the opportunity to network with peers and other researchers has opened doors for future collaborations and expanded my perspective on career paths in academia and industry.
Summer School included a special Careers Day program which aims to help give students an idea of the kinds of career paths available to maths graduates in industry and private sector research areas. Do you feel better equipped to explore career options in the mathematical sciences after attending AMSI Summer School?
Definitely ! Attending the Careers Day in Summer School has provided so many valuable insights into a wide range of career paths available to math graduates. I found it particularly helpful to hear from experienced people working in these areas, which gave me a better understanding of the practical applications of mathematics and how they can be translated into real-world jobs. The opportunities to engage with different industries has expanded by perspectives on potential career opportunities and now I’m more confident in exploring different fields that would align with my skills and interest.
What advice would you give to someone who is considering applying for Summer School in 2026? Should they apply and why?
If they’re looking for somewhere to expand their knowledge outside their home university, or try a new subject, then they should apply for Summer School in 2026! It’s a great way to stay productive while exploring different fields and meet people outside of your comfort zone!
What are your current career ambitions in the mathematical sciences sector?
My current ambition in the mathematical sciences sector is to pursue a career in academia, with the end goal of earning a PhD. I’m interested in exploring areas where mathematics with real-world problems, or maybe even to become a part of university or research institution where I can both conduct research and teach.
How did connecting with the community at AMSI Summer School support your experience?
The community at the AMSI Summer School was incredibly supportive and played a huge role in making the experience a lot better. Being around peers created a sense of belonging, both in and outside the classroom. Whether it was discussing course materials, learning from each other’s perspectives, or going out for ice creams, there was always someone to connect with. The supportive environment made this whole experience so much more enjoyable and meaningful.
Any other feedback/comments you would like to provide on the AMSI Travel Grant or AMSI Summer School 2025?
Thank you AMSI for the opportunity to participate and the grant, this has been one of the best experiences!