Hettiarachchige D. J. Sachini Wijewardena
James Cook University
I am a MPhil candidate at James Cook University. I have completed my undergraduate and postgraduate studies in mathematics and computer science, with a strong foundation in mathematical modelling and experience working with big data. My current research focuses on developing a machine learning model for cell type identification using long-read RNA sequencing data.
Can you describe the area of mathematics or bioinformatics you’re focusing on, and what you hope to achieve through your research?
I am developing a machine learning model, which is a subfield of mathematical modelling that allows computers to learn from data and make decisions or predictions without explicit programming. The goal of this model is to automatically classify cell types in long-read RNA sequencing data, making the process faster and more accurate compared to manual methods.
What inspired you to pursue a career in bioinformatics or the mathematical sciences?
My enthusiasm for mathematics and computer science drove me to pursue an undergraduate degree in these disciplines. During my postgraduate studies, I was able to discover the exciting area of mathematical modelling, specifically machine learning, and was able to acquire experience working with big data. I realised that bioinformatics is an ideal field to apply my knowledge and skills to real-world data. This inspired me to pursue a research degree in bioinformatics to further refine my knowledge and abilities and investigate novel discoveries in this rapidly evolving field.
If you could give advice to your younger self, what would it be?
At the beginning, it may feel challenging, and it won’t always be easy to stay motivated. The key is not to give up. Focus on developing your critical thinking skills alongside your theoretical knowledge, and always try to connect that knowledge to practical applications. Learn coding and apply your skills to real-world data, especially big data. You will soon realize how interconnected mathematics truly is.
How was your AMSI BioInfoSummer experience?
I am grateful to my supervisors for encouraging me to attend BioInfoSummer 2024. It was an invaluable opportunity to learn about emerging technologies and current research trends in the field. The conference also provided a fantastic chance to network with peers and explore various career opportunities. I would describe the conference as an excellent opportunity to connect with other professionals in the field and stay informed about cutting-edge research.
You received an AMSI BioInfoSummer travel grant to attend in person. How did this grant impact your ability to participate fully?
I am grateful for the grant, which included both travel and accommodation. The accommodation was conveniently located close to the conference premises, and everything was well organised. This funding allowed me to completely focus on the conference objective without being concerned about financial considerations.
What was the most valuable experience or takeaway from AMSI BioInfoSummer?
I enjoyed the insightful talks, engaging workshops, poster session, and the opportunities to network and to discover future career opportunities. Above all, I deeply value the new insights I gained about machine learning, artificial intelligence, and other cutting-edge technologies like spatial transcriptomics and quantum computing.
Where do you see your journey in mathematical sciences taking you in the next 5–10 years?
I want to pursue a PhD in mathematical modelling. BioInfoSummer introduced emerging areas within the field, highlighting potential future research opportunities. It also provided valuable insights into career pathways in both academia and industry, helping me visualise my future in this exciting and evolving discipline.