Selected Honours and Awards:

• 2022: Tier 2 Canada Research Chair in Computational Approaches to Health Research
• 2021: University of Manitoba Graduate Students’ Association Teaching Award
• 2021: Ed Kroeger Mentorship Award
• 2020: Terry G. Falconer Memorial Rh Institute Foundation Emerging Researcher Award
• 2020: MMSF Allen Rouse Basic Science Career Development Research Award
• 2018: The Interstellar Initiative Award

Selected Grants:

2023 Oct – 2028 Sep: A deep-learning approach to identify inhibitors of adherent-invasive Escherichia coli in the pathogenesis of inflammatory bowel disease. CIHR, 2023 Spring Project Grants, Nominated Principal Investigator

2023 Feb – 2025 Jan: Artificial intelligence-empowered approach towards the development of combination therapies for HER2+/ER+ breast cancer. CIHR, 2022 Fall Project Grants (Priority Grant), Nominated Principal Investigator

2021 Apr – 2026 Mar: Flexible and robust deep learning models for integrative analysis of single cell RNA sequencing data. Natural Science and Engineering Research Council of Canada (NSERC), Individual Discovery Grants, Nominated Principal Investigator

Selected External Grant Reviews:

• 2021-Present:Canada Research Chair Tier I/Tier 2, Canadian Institute of Health Research.
• 2021-Present: Project Grant Competitions, Canadian Institute of Health Research.
• 2019-Present: Individual Discovery Grant, Natural Sciences and Engineering Research Council.
• 2023: Biotechnology and Biological Sciences Research Council, UK Research and Innovation.
• 2022: European Science Foundation.
• 2022: NWO (Dutch Research Council) Talent Programme, Netherlands.
• 2022: FLDOH (Florida Department of Health) Biomedical Research Programs, USA.
• 2021: National Institute for Health Research (NIHR), UK
• 2021: Breast Cancer Foundation, New Zealand.
• 2020: National Science Center, Poland.
• 2019: Juvenile Diabetes Research Foundation, USA.
• 2019: Wellcome Trust / DBT Fellowship.
• 2019: Deutsche Forschungsgemeinschaft (German Research Foundation), Germany.

Selected Papers:

1. E Lin*, B Liu*, L Lac*, DLX Fung, CK Leung, P Hu (2023). scGMM-VGAE: A Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data. Machine Learning: Science and Technology. 4035013.
2. DLX Fung, X Li, CKS Leung, P Hu (2023). A self-knowledge distillation-driven CNN-LSTM model for predicting disease outcomes using longitudinal microbiome data. Bioinformatics Advances, 3:vbad059.
3. Q Liu, S Huang, D Desautels, KJ McManus, L Murphy, P Hu (2023). Development and validation of a prognostic 15-gene signature for stratifying HER2+/ER+ breast cancer. Computational and Structural Biotechnology Journal. 21:2940-2949.
4. C Liu, Y Sun, R Davis, ST Cardona, P Hu (2023). ABT-MPNN: An atom-bond Transformer-based message passing neural network for molecular property prediction. Journal of Cheminformatics. 15:29.
5. Q Liu, P Hu (2023). Radiogenomic association of deep MR imaging features with genomic profiles and clinical characteristics in breast cancer. Biomarker Research. 11:9.
6. Y Su, Q Liu, W Xie, P Hu. (2022) YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms. Computer Methods and Programs in Biomedicine, 221:106903.
7. Q Liu, P Hu (2022) An integrative computational framework for breast cancer radiogenomic biomarker discovery. Computational and Structural Biotechnology Journal, 20:2484-2494.
8. C Liu, AM Hogan, H Sturm, MW Khan, MM Islam, ASMZ Rahman, R Davis, ST Cardona, P Hu (2022). Deep learning – driven prediction of drug mechanism of action from large-scale chemical-genetic interaction profiles. Journal of Cheminformatics, 14:12.
9. Z Zhang, W Xu**, P Hu**. (2022) Tightly integrated multiomics-based deep tensor survival model for time-to-event prediction. Bioinformatics, 33:3259-3266.
10. Y Li, Charles N Bernstein, W Xu, P Hu (2022). Polygenic risk and causal inference of psychiatric comorbidity in inflammatory bowel disease among patients with European ancestry. Journal of Translational Medicine, 20:43.
11. Q Liu, P Hu (2022). Interpretable and extendable deep learning for pan-cancer radiogenomics research. Current Opinion for Chemical Biology. 66:102111.
12. Q Liu*,B Cheng*, Y Jin, P Hu (2022). Bayesian tensor factorization-driven breast cancer subtyping by integrating multi-omics data. Journal of Biomedical Informatics. 125:103958.
13. D LX Fung*, Q Liu*, J Zammit, CK Leung, P Hu (2021). Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19. Journal of Translational Medicine. 19:318
14. Z Sun, S Huang, P Jiang, P Hu. (2020). DTF: Deep tensor factorization for predicting anticancer drug synergy. Bioinformatics. 36:4483-4489.
15. P Jiang*, S Huang*, Z Sun, Z Fu, T Lakowski, P Hu. (2020) Deep graph embedding for prioritizing synergistic anticancer drug combinations. Computational and Structural Biotechnology Journal. 18:427-438.
16. VCruz de Jesus, R Shikder, D Oryniak, K Mann, A Alamri, BA Mittermuller, K Duan, P Hu**, RJ Schroth** and P Chelikani** (2020).Sex-based diverse plaque microbiota in children with severe caries. Journal of Dental Research. 99(6):703-712.