Marcell Szikszai

Marcell Szikszai serves as a Lecturer in the Department of Computer Science and Software Engineering within the School of Physics, Maths and Computing at The University of Western Australia. He maintains dual affiliation with the Australian Centre for RNA Therapeutics in Cancer, applying computational methods to RNA-focused therapeutic development.

His academic credentials include:

• PhD in Computer Science, The University of Western Australia (awarded 28 July 2023)

Dr. Szikszai specializes in deep learning applications for RNA structure prediction, with emphasis on overcoming generalization limitations across RNA families and developing structurally-dissimilar benchmark datasets. His research integrates computational biology, bioinformatics, and machine learning to address challenges in non-coding RNA analysis, directly supporting advances in RNA-based therapeutics and molecular modeling.

Analysis of his publication record reveals a focused trajectory in improving RNA secondary structure prediction through dataset engineering and model generalizability assessment. His work demonstrates strong interdisciplinary connections between computer science and molecular biology, with increasing impact evidenced by social media engagement (34+ X posts) and Mendeley readership (53+).

He maintains active external collaborations through Harvard University, serving as a Postdoctoral Research Fellow (December 2022–December 2023) and current Associate (January 2024–present), indicating sustained engagement with leading computational biology research groups.

At The University of Western Australia, he contributes computational expertise to the Australian Centre for RNA Therapeutics in Cancer, where his work supports the development of novel RNA-based cancer treatments through advanced structure prediction methodologies.