معرفی
Dr. Marcel Turcotte is an Associate Professor at the School of Electrical Engineering and Computer Science (EECS) at the University of Ottawa. He holds a Ph.D. from Université de Montréal and has conducted postdoctoral research at the University of Florida and the Imperial Cancer Research Fund in the UK. His research focuses on bioinformatics, computational biology, algorithm design, and machine learning applications in biological systems.
- Education: Ph.D., Université de Montréal (advisor: Guy Lapalme and Robert Cedergren)
- Postdoctoral Work: University of Florida (Steve Benner lab), Imperial Cancer Research Fund (Biomolecular Modelling Laboratory)
His research interests include RNA structure prediction, protein secondary structure analysis, evolutionary-based bioinformatics methods, and computational intelligence applied to genomic data. He has developed algorithms like WACS for ChIP-seq analysis and RiboFSM for RNA structural motif discovery. His work bridges computer science and molecular biology, addressing challenges in genomic data interpretation and predictive modeling.
Dr. Turcotte’s recent publications emphasize machine learning applications in RNA and protein structure analysis, as well as computational tools for genomic sequence mining. He has contributed to understanding gene fragmentation in Diplonema mitochondria and host susceptibility prediction for RNA viruses. His interdisciplinary approach integrates algorithm design with biological problem-solving.
No scientific awards or grants are explicitly mentioned in the provided text. His academic profile includes collaborations in bioinformatics, computational biology, and educational methodologies for engineering students.
