Artificial intelligence protein design for drugs and gene therapies

Inferring the structural properties of a protein from its amino acid sequence is important, since they determine a wide array of protein functions. This project will focus on applying and developing AI methods to mine the real information behind the massive single cell data and infer the precise genetic-phenotype signals as well as AI technologies to design gene and cell therapeutic interventions to target the identified signals. The University of Ottawa will provide expertise in health informatics and applied AI, and the NRC will provide expertise in machine learning, deep learning, computational geometry and proteomics.

Project team

Dr. Wojtek Michalowski

Dr. Wojtek Michalowski is the University Research Chair in Health Informatics and Decision Support at the Telfer School of Management, University of Ottawa. He is recognized as a leading expert in the field of decision support and has been conducting cutting-edge research in health informatics—spanning sciences, computer sciences and clinical sciences.

Find out more about Dr. Michalowski.

Dr. Herna Viktor

Dr. Herna Viktor is a full professor of computer science and the Program Director of the Applied AI program at the University of Ottawa. Her research areas of interest include machine learning foundations and algorithms, data-driven discovery and big-data applications. She has been a long-time collaborator with the NRC in AI and proteomics.

Find out more about Dr. Viktor.

Dr. Eric Paquet

Dr. Eric Paquet is a research officer at the National Research Council of Canada and an adjunct professor at the University of Ottawa's School of Electrical Engineering and Computer Science. He has brought significant and innovative achievements in the fields of machine learning and structural bioinformatics, resulting in more efficient and safer vaccines.

Find out more about Dr. Paquet.


Highly qualified personnel (HQP) biographies

Gabriel St-Pierre-Lemieux

Is a postdoctoral researcher at the University of Ottawa. He worked on bioactive papers using bacteriophages as active principle in the Sentinel Network. His research focussed on foam control in bioreactors where he developed computer models to follow foam dispersion in foam breakers. He was awarded the Léonard de Vinci Medal by Sherbrooke University for introducing advanced computational techniques in the Biochemical Engineering program. His research interests include computational geometry, protein-protein interaction and deep learning.

Junzheng Wu

Is a computer science doctoral candidate at the University of Ottawa. His research focusses on protein-protein interaction and deep learning. His research interests include Siamese networks, contrastive learning, attention models and convolutional neural networks.