This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Brock University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Jasmonate, salicylate, and ethylene-responsive transcriptomics discovery in spikelets of three wheat genotypes reveals a rapid and conserved response for jasmonate signaling.
Plant signaling & behavior · 2026
Reply to "Letter to the editor: methodological considerations in the benchmarking of AI-based protein-aptamer complex prediction".
Briefings in bioinformatics · 2026 · senior author
Comprehensive evaluation of artificial intelligence-empowered approaches for protein-aptamer complex prediction.
Briefings in bioinformatics · 2026 · senior author
Latest funding
- $136,000
Neural Network Models for Modelling, Design and Optimization of Structurally Complex Entities in Biomedical Data Science
NSERC · 2021 · Principal investigator
- $335,000
Machine Learning for Biomedical Data Science
NSERC · 2021 · Principal investigator
- $12,500
Neural Network Models for Modelling, Design and Optimization of Structurally Complex Entities in Biomedical Data Science
NSERC · 2021 · Principal investigator
18 publications.
Jasmonate, salicylate, and ethylene-responsive transcriptomics discovery in spikelets of three wheat genotypes reveals a rapid and conserved response for jasmonate signaling.
Foroud NA, Goyal RK, Liu Z, Li Y, González-Peña Fundora D, Eranthodi A, Ryabova D, Laroche A, Loewen MC, Pan Y
Reply to "Letter to the editor: methodological considerations in the benchmarking of AI-based protein-aptamer complex prediction".
Zhao J, Tram K, Yan H, Li Y
Comprehensive evaluation of artificial intelligence-empowered approaches for protein-aptamer complex prediction.
Zhao J, Tram K, Yan H, Li Y
Exploration of chaos game representation and integrative deep learning approaches for whole-genome sequencing-based grapevine genetic testing.
Vu A, Park B, Li Y, Liang P
"Several birds with one stone": exploring the potential of AI methods for multi-target drug design.
Mukaidaisi M, Ahmed M, Grantham K, Al-Jumaily A, Dedhar S, Organ M, Tchagang A, Hou J, Ahmed SE, Dividino R, Li Y
Notch1 Phase Separation Coupled Percolation facilitates target gene expression and enhancer looping.
Foran G, Hallam RD, Megaly M, Turgambayeva A, Antfolk D, Li Y, Luca VC, Necakov A
Notch1 Phase Separation Coupled Percolation facilitates target gene expression and enhancer looping.
Foran G, Hallam RD, Megaly M, Turgambayeva A, Antfolk D, Li Y, Luca VC, Necakov A
Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery.
Aksamit N, Tchagang A, Li Y, Ombuki-Berman B
Integrating transformers and many-objective optimization for drug design.
Aksamit N, Hou J, Li Y, Ombuki-Berman B
Examining multi-objective deep reinforcement learning frameworks for molecular design.
Al-Jumaily A, Mukaidaisi M, Vu A, Tchagang A, Li Y
Neural Network Models for Modelling, Design and Optimization of Structurally Complex Entities in Biomedical Data Science
Principal investigators: Li, Yifeng
Keywords: bioinformatics; structurally complex entities; representation learning; deep learning; deep generative models; data-model coevolution; multi-objective black-box optimization; genome annotation; aptamer design; interactome prediction
Machine Learning for Biomedical Data Science
Principal investigators: Li, Yifeng
Keywords: bioinformatics; data science; machine learning; sequence modelling; biomedical image processing; probabilistic graphical models; human health therapeutics ; AI for mental health; optimization; natural language understanding
Neural Network Models for Modelling, Design and Optimization of Structurally Complex Entities in Biomedical Data Science
Principal investigators: Li, Yifeng
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Hongbin Yan and Yifeng Li: 4 shared papers
- Jinqiang Hou and Yifeng Li: 3 shared papers
- Aleksandar Necakov and Yifeng Li: 2 shared papers
- Yifeng Li and Beatrice Ombuki-Berman: 2 shared papers
- Shoukat Dedhar and Jinqiang Hou: 1 shared paper
- Shoukat Dedhar and Yifeng Li: 1 shared paper
- Shoukat Dedhar and Renata Dividino: 1 shared paper
- Miroslava Cuperlovic-Culf and Hongbin Yan: 1 shared paper
- Miroslava Cuperlovic-Culf and Yifeng Li: 1 shared paper
- Ping Liang and Aleksandar Necakov: 1 shared paper
- Ping Liang and Yifeng Li: 1 shared paper
- Jinqiang Hou and Beatrice Ombuki-Berman: 1 shared paper
- Jinqiang Hou and Shan Du: 1 shared paper
- Jinqiang Hou and Renata Dividino: 1 shared paper
- Yifeng Li and Shan Du: 1 shared paper
- Yifeng Li and Renata Dividino: 1 shared paper
- Chemistry
- Department of Computer Science
- Biological Sciences Department
- Computer Science
- Biochemistry, Microbiology and Immunology
- Department of Biological Sciences
- Communication and media studies
- Other
Co-authors at Brock University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Hongbin Yan
Chemistry
4 shared papers, latest 2026
Jinqiang Hou
Chemistry
3 shared papers, latest 2025
Beatrice Ombuki-Berman
Computer Science
2 shared papers, latest 2024
Aleksandar Necakov
Biological Sciences Department
2 shared papers, latest 2024
Shan Du
UBC Master of Data Science
1 shared papers, latest 2023
Renata Dividino
Communication and media studies
1 shared papers, latest 2025
Shoukat Dedhar
Department of Biochemistry and Molecular Biology
1 shared papers, latest 2025
Miroslava Cuperlovic-Culf
Biochemistry, Microbiology and Immunology
1 shared papers, latest 2023
Ping Liang
Department of Biological Sciences
1 shared papers, latest 2025
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