This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Simon Fraser University directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.
Chemical science · 2026
A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery.
Nature communications · 2025
scMUSCL: multi-source transfer learning for clustering scRNA-seq data.
Bioinformatics (Oxford, England) · 2025 · senior author
Latest funding
- $118,000
Transfer learning and causal models for biomedical data
NSERC · 2023 · Principal investigator
- $252,000
Data Mining in Heterogeneous Information Networks with Attributes
NSERC · 2017 · Principal investigator
- $25,000
Anomaly detection on smart mobile devices using probabilistic graphical models
NSERC · 2014 · Principal investigator
29 publications.
Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.
Pandey M, Sajed T, Semenov I, Zhang R, Ban F, Manskaia E, Ester M, Cherkasov A
A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery.
Pandey M, Foo J, Massah S, Alford MA, Mslati H, Subbaraj G, Saba M, Gentile F, Lallous N, Haney EF, Hancock REW, Ester M, Cherkasov A
scMUSCL: multi-source transfer learning for clustering scRNA-seq data.
Khoeini A, Sar F, Lin YY, Collins C, Ester M
Machine learning model identifies genetic predictors of cisplatin-induced ototoxicity in CERS6 and TLR4.
Arab A, Kashani B, Cordova-Delgado M, Scott EN, Alemi K, Trueman J, Groeneweg G, Chang WC, Loucks CM, Ross CJD, Carleton BC, Ester M
Identifying Synergistic Components of Botanical Fungicide Formulations Using Interpretable Graph Neural Networks.
Snow O, Kazemi A, Bhanshali F, Nasiri A, Rozek A, Ester M
Phenotype prediction from single-cell RNA-seq data using attention-based neural networks.
Mao Y, Lin YY, Wong NKY, Volik S, Sar F, Collins C, Ester M
Multi-treatment Effect Estimation from Biomedical Data.
Aoki R, Chen Y, Ester M
Ligand Binding Prediction Using Protein Structure Graphs and Residual Graph Attention Networks.
Pandey M, Radaeva M, Mslati H, Garland O, Fernandez M, Ester M, Cherkasov A
Healthy memory aging - the benefits of regular daily activities increase with age.
Krakovska O, Christie GJ, Farzan F, Sixsmith A, Ester M, Moreno S
Drug sensitivity prediction from cell line-based pharmacogenomics data: guidelines for developing machine learning models.
Sharifi-Noghabi H, Jahangiri-Tazehkand S, Smirnov P, Hon C, Mammoliti A, Nair SK, Mer AS, Ester M, Haibe-Kains B
Transfer learning and causal models for biomedical data
Principal investigators: Ester, Martin
Keywords: machine learning; transfer learning; causal discovery and inference; biomedical applications; precision medicine
Data Mining in Heterogeneous Information Networks with Attributes
Principal investigators: Ester, Martin
Anomaly detection on smart mobile devices using probabilistic graphical models
Principal investigators: Ester, Martin
Computational Infrastructure for Cloud Computing, Computational Biology, and Data Mining
Principal investigators: Ester, Martin
Create Program for Computational Methods for the Analysis of the Diversity and Dynamics of Genomes (Create - CMADDG Training Program)
Principal investigators: Ester, Martin
Probabilistic Graphical Models for Data Mining and Recommendation in Social Media
Principal investigators: Ester, Martin
Relevancy engine for Nokia Ovi Store
Principal investigators: Ester, Martin
Computational infrastructure for data ming and bioinformatics group
Principal investigators: Ester, Martin
A clustering framework for the process of knowledge discovery in databases
Principal investigators: Ester, Martin
Mining in large hypertext databases: advanced clustering and classification methods
Principal investigators: Ester, Martin
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
- Artem Cherkasov and Francesco Gentile: 8 shared papers
- Artem Cherkasov and Martin Ester: 5 shared papers
- Faranak Farzan and Andrew Sixsmith: 3 shared papers
- Andrew Sixsmith and Martin Ester: 3 shared papers
- Artem Cherkasov and Colin Collins: 2 shared papers
- Colin Collins and Martin Ester: 2 shared papers
- Ryan Morin and Leonid Chindelevitch: 1 shared paper
- Ryan Morin and Martin Ester: 1 shared paper
- Benjamin Haibe-Kains and Martin Ester: 1 shared paper
- Leonid Chindelevitch and Martin Ester: 1 shared paper
- Faranak Farzan and Martin Ester: 1 shared paper
- Ghassan Hamarneh and Martin Ester: 1 shared paper
- Nansheng Chen and Martin Ester: 1 shared paper
- Martin Ester and Francesco Gentile: 1 shared paper
- Urologic Sciences
- Computing Science
- Urban Studies
- Medical Biophysics
- Mechatronic Systems Engineering
- Department of Chemistry and Biomolecular Sciences
- Computing Science, School of
- Other
Co-authors at Simon Fraser University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Artem Cherkasov
Urologic Sciences
5 shared papers, latest 2026
Andrew Sixsmith
Urban Studies
3 shared papers, latest 2021
Colin Collins
Urologic Sciences
2 shared papers, latest 2025
Francesco Gentile
Department of Chemistry and Biomolecular Sciences
1 shared papers, latest 2025
Leonid Chindelevitch
School of Computing Science
1 shared papers, latest 2019
Faranak Farzan
Mechatronic Systems Engineering
1 shared papers, latest 2021
Ghassan Hamarneh
Computing Science, School of
1 shared papers, latest 2020
Nansheng Chen
Molecular Biology and Biochemistry
1 shared papers, latest 2010
Ryan Morin
Genome Sciences Centre
1 shared papers, latest 2019
Benjamin Haibe-Kains
Medical Biophysics
1 shared papers, latest 2021
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