Background
Background
Summary
I am currently a Senior Computational Biologist on the Computational Discovery team at Foundation Medicine in Boston. I develop and apply statistical models for genomic, imaging, and real-world clinical data to study how cancers arise, how they resist treatment, and how they can be monitored over time.
Prior to joining Foundation Medicine, I was a Computational Scientist at the Core for Computational Biomedicine (CCB) at Harvard Medical School, founded by Dr. Robert Gentleman. My work there supported pre-clinical collaborators across departments, covering the QC, integration, and analysis of bulk and single-cell RNA-seq, spatial transcriptomics, and proteomics data, along with predictive models for post-translational modifications. scDiagnostics grew out of that work as a separate project.
Before moving to Boston, I completed my PhD in Statistics in the Department of Statistics at the University of British Columbia, co-supervised by Dr. Ruben Zamar and Dr. Stefan Van Aelst. The dissertation develops a data-driven ensemble framework for high-dimensional data. During my doctoral studies I spent a summer as a visiting researcher at the Department of Mathematics at KU Leuven and, in parallel, as a Google Summer of Code developer working on time-series software for standard-error estimation under serial dependence. I also worked as Lead Statistical Programmer at the Centre for Clinical Epidemiology and Evaluation. I then stayed at UBC as a postdoctoral fellow with Dr. Gabriela Cohen-Freue, extending my dissertation work on ensembles toward robust estimation.
Earlier, I studied mathematics and statistics as an undergraduate in Montréal, and completed an MSc in Statistics at the University of Toronto. I am originally from the Montérégie, in Québec.
Positions
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October 2026 – present
Senior Computational Biologist
Foundation Medicine, Computational Discovery · Boston, MA
Cross-functional scientific investigations on multi-modal datasets to discover and validate prognostic biomarkers and therapeutic targets, with scalable, version-controlled computational workflows, in collaboration with clinical partners on translational oncology research.
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January 2024 – October 2026
Computational Scientist
Harvard Medical School, Core for Computational Biomedicine · Boston, MA
QC, integration, and analysis of large-scale multi-omics data for pre-clinical collaborators across departments. Developed scDiagnostics for Bioconductor and built predictive models for post-translational modifications using expression, PPI network, kinase activity, and ontology features. Ran technical workshops on spatial multi-modal tooling, single-cell analysis, and AI-accelerated workflows.
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January 2023 – December 2023
Postdoctoral Research Fellow
University of British Columbia, Department of Statistics · Vancouver, BC
Robust estimation and predictive modeling for high-dimensional data.
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May 2022 – October 2022
Lead Statistical Programmer
Centre for Clinical Epidemiology and Evaluation · Vancouver, BC
Statistical analyses and reproducible pipelines for real-world clinical datasets.
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May 2018 – August 2018
Google Summer of Code Developer
Google / Open Source Enterprise · Remote
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May 2018 – August 2018
Visiting Researcher
KU Leuven, Department of Mathematics · Leuven, Belgium
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May 2017 – October 2022
Graduate Researcher
University of British Columbia, Department of Statistics · Vancouver, BC
Education
- PhD, Statistics University of British Columbia · A data-driven ensemble framework for modeling high-dimensional data
- MSc, Statistics University of Toronto · Toronto, ON
- BSc, Mathematics and Statistics Concordia University · Montréal, QC
Selected talks
- Spatial Working Group Meeting Dana-Farber Cancer Institute · Boston, MA
- Bioconductor Conference 2024 Grand Rapids, MI · demo materials
- ICORS meets DSSV 2024 George Mason University · Fairfax, VA
- CMStatistics 2023 Virtual
- Computational Biology meets Data Science Workshop · Oaxaca, Mexico
Awards
- Data Science Award University of British Columbia
- Marshall Prize for Statistical Theory & Application University of British Columbia
- President's Academic Excellence PhD Award University of British Columbia
- Graduate Teaching Assistant Award University of British Columbia
- MITACS Globalink Research Award Mitacs
- Google Summer of Code Award Google
- Faculty of Science PhD Award University of British Columbia
- Faculty of Science MSc Award University of Toronto