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Dr. Shraddha Pai, PhD | Team Lead | |
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Ian Cheong | Jan 2022-present MSc candidate, Medical Biophysics University of Toronto |
Single-cell multi-omics of human and mouse fetal hindbrain and early origins of Group 4 medulloblastoma |
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Ellen Mak | May - Dec 2023 BSc candidate, McMaster University |
CRISPRi pilot in medulloblastoma |
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Xinghan Sun | May 2023-present PhD candidate, Medical Biophysics, University of Toronto |
Single-cell genomics of fetal hindbrain and developmental origins of Group 3 and 4 medulloblastoma |
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Paul Wambo | Bioinformatics Research Associate | Genomics workflow development, machine learning |
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Mingjie Zhao | May-Aug 2023 BMath candidate, University of Waterloo |
Target prioritization algorithm for novel cancer therapeutics discovery |
Alumni
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Soumya Menon | Jan 2023-April 2023 BSc candidate, Mathematical Physics University of Waterloo |
EM-seq analytics pipeline development; biomarker discovery in treatment-resistant glioblastoma |
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Alex Chan | Jan 2023-April 2023 BEngg candidate, Biomedical Engineering University of Waterloo |
Algorithm dev to infer gene regulatory networks from DNA methylomes and transcriptomes |
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Indy Ng | Sep-Dec 2021 Undergraduate (Applied Math) University of Waterloo |
Interpretable machine learning from medulloblastoma and ependymoma tumour methylomes |
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Lokesh Rana | Apr-June 2021 Undergraduate (Applied Math) University of Waterloo |
Google Summer of Code ‘21: Visualization of systems-level gene annotation |
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Rishabh Kohale | Apr-June 2021 Undergraduate (Applied Math) University of Waterloo |
Google Summer of Code ‘21: Visualization of systems-level gene annotation |
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Jennifer Yu | May-Aug 2021 Undergraduate (Biomed Engg.) University of Waterloo |
Developing a deep-learning based patient classifier using networks and multi-modal data integration |
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Alex Fricke | May-Aug 2021 Undergraduate (Biomed Engg.) University of Waterloo |
Interpretable machine learning from medulloblastoma and ependymoma tumour methylomes |